Hey there, and welcome back to Tech Break by Friday, where we break down AI and technology terms to use step-by-step strategies for our business. I’m your host, Paraskevi Kivroglou—software developer, AI researcher, and here to help you stay one step ahead in the fast-moving world of artificial intelligence.

Today’s topic is going to save you hours and will instantly level up how you communicate ideas—AI presentation tools.

Why use AI for presentations?

If you are like me, building presentations can be a time-consuming process. You spend hours tweaking slides, adjusting fonts, and rewriting the content.

So AI-powered tools are changing that. They're not just saving time; they’re helping non-designers create professional, story-driven presentations that impress.

Pro Tip: Use AI not just for automation—but for creativity. These tools help spark new ways of telling your story.

My opinion on the Tools I tested…

Gamma: One of the best for creating complete decks from a single prompt. If you’re short on time and need a solid draft quickly, start here. Gamma has a built-in AI image generator, so you can use prompting to create the images that match your vision. What I also like is the option to export as a PDF, Google Slides, or PowerPoint project.

Canva Magic Design: If you are a designer and like creating, this is the tool for you. You type in a concept, and it gives you layout and image suggestions in seconds. I know a lot of people who use Canva to create their presentations, so this is perfect since it is already integrated.

Beautiful.ai: Similar to Gamma. When I want design consistency and polish—without overthinking fonts and alignment. It is really good at creating a slide deck that follows a story.

Pro Tip: Always double-check the text that AI generates. It might hallucinate and not understand the topic from your prompt (depends on the prompt). Please make sure you agree with the written words.

Tips & Tricks

Now for the good stuff—practical tips I’ve picked up from using these tools myself

* Start with the end in mind: Know your takeaway message before opening any tool.

* Use prompts like a pro: Be specific—e.g., ‘Create a 10-slide pitch deck about a SaaS startup helping small businesses automate HR workflows.’ Prompting is key for AI. When you want AI to create a specific presentation, explain the concept like you would to a human. Give it enough context, and make sure to specify your audience. This plays a huge role in the tone and how deeply it dives into the topic.

* Refine the output: These tools are 80% there—add your voice, examples, and structure.

* Keep it visual: Use icons, flow diagrams, and images. These tools often suggest them—don’t ignore them! But if the ones they suggest don’t match your style or wants, change them with prompts.

* Review with real people: Before presenting, ask someone outside your field to review. If they get it, you nailed it.

Common Pitfalls to Avoid

Even though AI is powerful, it’s not perfect. Watch out for these mistakes.

* Over-relying on templates: Your content still needs clarity and originality. Make sure you add your vision to the presentation.

* Generic language: Always personalize AI-generated content—add your tone and voice. The presentation is supposed to highlight your knowledge and expertise while making it comprehensive for others.

* Assuming it's presentation-ready: Edit ruthlessly. These are starting points, not final drafts.

That wraps up today’s episode! If you’ve ever felt stuck or overwhelmed creating slides, I hope this gives you some tools and confidence to try AI-powered presentation makers. They won’t replace your thinking—but they will amplify it.

If you found this helpful, share it with a colleague or leave a review—it really helps us grow the show. If you want links to these tools, check out the show notes. If you want to be the first to get all this information in your email, please subscribe to my newsletter, which is linked below.

Thanks for tuning in—until next time, keep learning, keep building.

References: 1. Gamma: https://gamma.app/create

* Canva Dream Land: https://www.canva.com/dream-lab

* Canva Magic Design:https://www.canva.com/magic-design/

* Beautiful.ai: https://www.beautiful.ai/

* Newsletter: https://substack.com/@paraskevikivroglou1?r=56ehxy&utm_campaign=profile&utm_medium=profile-page

* Instagram: https://www.instagram.com/tech.break.by.friday

* Facebook Page: https://www.facebook.com/profile.php?id=61574776242903

Hey there, and welcome back to Tech Break by Friday, where we break down AI and technology terms to use step-by-step strategies for our business. I am an AI and Software Engineer with a passion to share technology as simply as possible for everyone.

In today’s episode, I want to show you how to use 2 of my go-to tools this week for decision making. As an example, we will ask Perplexity and ChatGPT to guide us in creating a marketing plan. The idea is to create a plan that you can execute for your business in a month and take action. AI is a huge advantage for every business if it is used appropriately.

First Tool - My Online Search Buddy, Perplexity

I created a space inside perplexity, giving it instructions. The instructions are the rules or guides that you want the model to consider for every thread in your space. (More details, check Episode 2, devoted to Perplexity)

Then I created a new thread:

Hello, please help me create a marketing plan for my service business on social media with actionable steps.

Perplexity came with an answer for a Social Media Marketing Plan for my business.

Actionable Steps Checklist

* Set clear goals (e.g., X leads/month, Y% increase in engagement).

* Define your target audience (industry, role, pain points).

* Choose two primary platforms (start with LinkedIn and one other).

* Plan a month of content (educational posts, testimonials, behind-the-scenes, interactive).

* Schedule posts using a tool like Buffer or Hootsuite, leveraging AI for timing3.

* Engage daily: Respond to comments, join groups, and participate in discussions.

* Launch a small paid ad campaign targeting your ideal clients.

* Monitor analytics weekly and adjust your content and ad strategy.

* Encourage reviews and user-generated content from satisfied clients.

* Review and refine your plan monthly based on performance data.

Some Tips:

If you want to add more context to your prompts, you can try:

* How can I expand and market my [product/service] in [preferred social media platform]? Could that work as a lead generation?

* I have a [product/service category] business. Can you use all the previous steps and create a checklist for [specific amount of time (e.g., a month)] that I can do to accomplish a marketing plan? Please make it manageable. I have time to spend [time to spend each day].

This actually helped me make a plan with tasks from Monday to Friday and what the priorities should be for that day. Below is an example. Of course, by adding more prompts, you can customize your plan to your individual needs.

Second Tool - The all-mighty ChatGPT

ChatGPT or any other LLM is a companion tool for a business owner who is trying to tackle many things at once. I am new to having a business, and marketing is something that I am learning as I go. So I used ChatGPT to create a plan with step-by-step actions to market my business. I used the prompt:

I have a [product/service category] business. You are an expert in marketing, and since I am just a beginner, I want you to make a plan with instructions for me.

So what I liked about the response I got here is the step-by-step. This means I even got instructions on how to set up a Facebook page (if I market on Facebook). Later on, ChatGPT asked if it should create an Excel/CSV file for me to check my progress, and I replied yes. I enjoyed working back and forth with it to build my marketing strategy for my business.

If you’re listening and thinking, ‘This all sounds amazing, but I still don’t have the time,’ I get it. That’s where I come in. I help business owners like you automate the tech and free up your time so you can focus on what matters. If you would like help implementing, you can also book a free discovery call with me.

Discovery Call: https://api.leadconnectorhq.com/widget/booking/KnLhETWeXcsKQXRLkNI6

That’s it for today! If you found this helpful, I’d love it if you could share it with a fellow business owner or leave a quick review. And don’t forget to follow Tech Break by Friday for more practical AI and tech tips every week.

Thanks for listening — now let’s build something brilliant.

References:

* ChatGPT: https://chatgpt.com/

* Perplexity: https://www.perplexity.ai/

* Discovery Call: https://api.leadconnectorhq.com/widget/booking/KnLhETWeXcsKQXRLkNI6

Music: Music by Ievgen Poltavskyi from Pixabay

Hello everyone. Welcome to another episode of Tech Break by Friday. Some exciting news came up this week. ChatGPT has a new feature called Memory. Memory allows ChatGPT to remember your preferences, your name, and other details from previous conversations.

So, I came up with some prompts that a few people tried and posted on X on how to use ChatGPT to learn more about yourself—things that you might not even realize that you do. This worked amazingly, and the results went viral.

(Source: Screenshot from writing the prompt, mentioned)

The excellent prompts (found on X) you can try are:

* From all of our interactions, what is one thing that you can tell me about myself that I may not know about myself?

* Based on everything you already know about me, could you profile me? What are things you think I’m not aware of about myself?

Then I went on and asked more specific questions.

Please suggest possible work or business paths I can take based on my personality and my hardcore skills.

ChatGPT helps you analyze your decisions in life and gives you ideas based on your personality and details about you.

Would you try these prompts? Feel free to write to me if they helped you understand yourself a bit more.

If you found this episode helpful, please share it with your friends and leave a review on the platform you are listening to.

I wish you a great rest of the week, and see you until the next one.

(Source: Generated by ChatGPT using this prompt: Based on what you know about me, can you create an image of a toy figurine that represents my day-to-day life?)

You want to save notes, create mind maps, and record podcasts to increase your productivity, and this is the tool you've been waiting for.

In today’s episode, I will share one of my favorite tools for learning a new topic. Notebook LM was released by Google a year ago as an experiment. You can view it under your Google account products or by searching for it. So, what is special about this product?

Personal Notebook LM Screenshot.

You can create a notebook that will hold information from various sources. For example, let‘s create a notebook on Systems Design Engineering, which is where I have been trying to improve my personal skills lately. I added some YouTube videos (using the + button) I have found before as sources. If you use the Search button (magnifying glass icon), you can let Google Gemini look up sources for you based on a specific topic you would like. If you are a student or someone who loves mind maps, the latest version of Notebook LM 2.0 allows you to create one by clicking the button in the middle tab. I like the idea of a mind map when I am learning something so I can visualise how each topic connects to one another. If you don’t have time to read or watch all of your sources, you can click the button that has (voice fluctuation). That will create an AI-based podcast from your sources. This is really cool if you would like to save it and listen to it on the go.

From the right-side tab, you can save your own notes for later, create a study plan, time plan (how everything evolved over time), and more. This has been a perfect tool for collecting a variety of information and learning step by step. I hope you actually use it. Let me know what you think. I hope you liked today’s episode and learned something new. Let me know your thoughts, and if you want to learn more about this, please subscribe.

I have a free guide with pictures on how to use NotebookLM. You can download it below. Have a great week until the next one.

Resources:1. Mindful Maps in Notebook LM: https://www.perplexity.ai/page/notebooklm-introduces-interact-AG6Ijc1IT0mzAyXGj8aBiw

2. Notebook LM: https://notebooklm.google.com/

3. Free Guide:

https://api.leadconnectorhq.com/widget/form/rMDfVOjTt54AZuUkmKB8

Meta released Llama 4.

What is different compared to their previous models?

From Meta’s website:Meta's Llama 4 models are cutting-edge multimodal AI systems designed to handle both text and image inputs seamlessly. They employ a mixture-of-experts (MoE) architecture, which activates only a subset of parameters for each input, enhancing efficiency and scalability.

Basically, what this means is that only a smaller set of the model’s parameters are activated at a single request. The activated parameters represent one or more experts. These experts to be activated are chosen from an internal router. This is something really interesting, especially to that extent. You can request access to the models from https://www.llama.com/llama-downloads/. Leave a link in the description. Also, something that we have not seen before, Llama 4 Behemoth pushes the parameters to 2 trillion. This is an outstanding number for the industry.

Source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/

Let’s discuss the key differences between the models.

Key Features of Llama 4 Models:

* Models:

* Llama 4 Scout: A 17-billion active parameter model with 16 experts and a massive 10-million-token context window. It excels at tasks requiring long context analysis, such as multi-document summarization and codebase reasoning.

* Llama 4 Maverick: Also a 17-billion active parameter model but with 128 experts and a 1-million-token context window. This model balances multimodal capabilities (text/image) and creativity, making it ideal for chatbots and enterprise applications.

* Training Data: Both models were trained on a mix of publicly available data, licensed sources, and interactions from Meta platforms like Instagram and Facebook.

* Supported Languages: Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, Vietnamese.

* Release Date: April 5, 2025.

Differences Between Scout and Maverick:

Source: Screenshot from my table from Meta’s blog post

I can’t wait for my access to these models to be approved so I can try them out. Let me know if you would like me to do a video or podcast episode testing the Llama 4 models.

Source: Created with Imagen3 and Gemini Flash 2.0 using the prompt: Can you generate a cute image with 4 llamas?

Google News

This week Google surprised us by releasing for free Gemini 2.5. This is their best model yet and is up to 1 million tokens, with plans to expand to 2 million tokens in the near future. This is an amazing model and if you don’t want to spend the money on OpenAI or Anthropic subscriptions you can consider this option.

Google also added ImageGen3 in Google Slides. So now you get to generate AI images for your slides without leaving the page. Super cool feature and really useful. If I don’t have a picture that I can use for my slides, I used to go to other pages to generate them. Please if you do generate images always cite the source.

OpenAI plans to go open source?

OpenAI surprised everyone this week with its announcement on April Fools’ Day. They are releasing Image Generation for free users. In their article, they mention that this might cause delays across users since they are predicting an overload of requests to their servers. Extraordinary is also their new form for open model feedback. OpenAI plans to release its first open model from the era of GPT2. They are requesting feedback from engineers and developers on that. The form, as well as all other information, will be linked below. In addition, OpenAI released OpenAI Academy. So this is an educational platform with resources on how to use OpenAI tools. I will leave a link below.

Apple Intelligence

For me it is really exciting since I am based in Europe. Apple Intelligence rolls out officially in the EU and for multiple languages like French, German, etc. Vision Pro with Apple Intelligence has the ability to proofread, rewrite, generate Images and Emojis with Genmoji. That could be cool to play with.

I quote from Apple’s blog post:Apple Intelligence marks an extraordinary step forward for privacy in AI and is designed to protect users’ privacy at every step. It starts with on-device processing, and for requests that require access to larger models, Private Cloud Compute extends the privacy and security of iPhone into the cloud to unlock even more intelligence.

Privacy and Security are the backbone of Apple Products, and I am happy to see that the company keeps its promises, even if the features take longer to release.

Claude Rolls Out AI for Education.

The new feature from Claude is supposed to act as a tool to help students solve problems and develop critical thinking. Instead of giving direct access to homework, it is planned to be used by students to help them study. This makes it a really good initiative, in my opinion, to support the younger generation with AI and assist them in learning and possibly retaining knowledge. I am excited to see the results.

Disclaimer:

In order to not claim I found all of these myself. I am also following creators in the space, and I have found most of the sources from the Future Tools page here: https://www.futuretools.io/news

This has been an extended episode. If you liked it, please like and share it with your friends on any platform you want. Thank you, and I hope you are having an incredible week.

If you found any of the things I shared helpful today, please subscribe.

References:

* Llama 4 Access: https://www.llama.com/llama-downloads/

* Llama 4 Blog: https://ai.meta.com/blog/llama-4-multimodal-intelligence/

* Hugging Face Llama 4: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct?inference_provider=novita

* Google Gemini 2.5: https://arstechnica.com/gadgets/2025/03/googles-new-experimental-gemini-2-5-model-rolls-out-to-free-users/

* Google Slides Update: https://blog.google/products/workspace/workspace-slides-visuals-ai-updates/

* OpenAI releases Image Generation GPT: https://techcrunch.com/2025/04/01/sam-altman-says-that-openais-capacity-issues-will-cause-product-delays/

* OpenAI Academy: https://academy.openai.com/home

* OpenAI Open Model Form: https://openai.com/open-model-feedback/

* Apple Intelligence: https://www.apple.com/newsroom/2025/03/apple-intelligence-features-expand-to-new-languages-and-regions-today/

* Apple VisionOs Update: https://www.apple.com/newsroom/2025/03/apple-intelligence-comes-to-apple-vision-pro-today-with-visionos-2-4/

* Anthropic Claude Education: https://www.anthropic.com/news/introducing-claude-for-education

* Future Tools: https://www.futuretools.io/news

I don’t know if all of you know how much I love to talk about business or side hustles since this podcast does not focus on these topics.

I would love to talk to you today about how you can use AI to create a logo. I am not good with design, but I tend to have a good eye for aesthetics. Since the advancement of AI in our era, there are multiple tools infused with AI to create cool and creative logos with your prompts.

The tool I have used for my own logos until now is Logo.com. The process is straightforward:

First, you provide your business name

Then, you can choose your color, theme, or style.

In a couple of minutes, you have a design for your logo.

Now, if you want, you can either edit the design or let the AI edit it with prompting.

Besides Logo.com, there are various tools on the market, such as Looka.com, Brandcrowd, and Logo.com.

There are pros and cons for all the tools. Some of them have paid plans, and some of them are free.

This is the interface of Logo.com:

(Source: https://logo.com/)

The blog post contains more tools like this, along with their price ranges and services. I used this to create a new logo for the podcast, and I have to admit that I really liked the result.

Also, if you would like more autonomy in designing your own logo but would like some AI features to help, you can try Canva. Canva is a great design tool, and you now have the option for a free trial to use the AI features.

This is only one of the tasks that AI has proven so helpful. Now, you can create your logo with minimal costs. Especially before your business makes revenue, you don’t have to spend a high amount of money to design your brand.

I hope this episode was interesting to you today. Thank you for listening. If anyone else is interested in this, please share it with them.

If you have any podcast ideas that you would like to see, please use my Substack chat to share them with me.

Have a great time, everyone, until the next one. <3

References:

* Logo.com: https://logo.com/

* Superside AI Logo Generators: https://www.superside.com/blog/ai-logo-generators

* Looka.com: https://looka.com/

* Canva: https://www.canva.com/

* Canva Call Members Link: https://www.canva.com/join/fcx-xgz-sgy

Hi everyone, this is another episode of Tech Break by Friday. Where does the term Agentic AI come from? What are AI agents, and why use them instead of foundation models?

Psychologist Albert Bandura introduced the concept of agency. Agency in individuals is described as the ability to act in full or partial autonomy. So, AI agents are AI systems that can perform a certain number of tasks autonomously.

How does an AI Agent System problem solve:

* Perceive: The system gathers information from its environment. In this stage, it will try to find key elements in the data, depict categories, or determine the data's relevance.

* Reason: An LLM acts as the operator or reasoning engine. It understands the tasks given, allowing tools to be utilized to produce results and reach the final solution. One use case would be to use RAG to determine how to solve a specific problem from the data.

* Act: It makes decisions and takes appropriate actions. By integrating custom implemented or external tools, agents can act with them to get a result for the problem presented. If the agent receives a prompt or an instruction on how to solve the specific issue, it will act on the instructions. This removes the manual work of maybe calling different tools and collecting their results.

* Learn: Usually, there is also a feedback loop. This loop allows the agent to improve on the tasks for next time. It could be like a flywheel since the data from the agent’s iterations is fed back to the system to enhance the agent.

(Source: Pounds, E. ,2024)

A powerful solution for businesses to drive faster decision-making and operate more efficiently.

As humans, we use our short-term and long-term memory to remember things more easily. Short-term memory helps us remember the context of a conversation with another human. In agents, short-term memory can be used to keep the conversation context in the same thread as customer bots. I want you to know that AI agents remember the information that you have provided in the conversation previously. But we also have long-term memory. A direct equivalent to long-term memory for AI agents is a vector store that contains documents transformed into vectors. The agent has access to this data store to use at all times, and they can act upon them.

AI agents can act autonomously, but they need an LLM as their main component. Their ability to reason depends on the large language model used for this specific task. Agents have a memory to act on the context provided and/or the external data. Their ability to solve problems is simulated from how we humans observe, reflect on the world, and decide if a certain action will solve the problem. In case of success, we learned how to solve the issues, and in case of failures, we knew what wouldn’t so we could try something else.

References:

* Pounds, E. (2024, October 22). What Is Agentic AI? NVIDIA Blog. https://blogs.nvidia.com/blog/what-is-agentic-ai/

* Rogerson, K. (2024, October 15). Agentic AI Explained: Definitions, Benefits & Examples of AI Agents. Interface.Ai. https://interface.ai/blog/what-is-agentic-ai/

* (24) Understanding Agentic AI: Origins, Applications, and Its Near-term Impact on Human Resources | LinkedIn. (n.d.). Retrieved March 26, 2025, from https://www.linkedin.com/pulse/understanding-agentic-ai-origins-applications-its-near-term-hill-ir6fc/

* Bandura, A. (1997). Self-Efficacy: The Exercise of Control. W.H. Freeman.

* Skinner, B.F. (1971). Beyond Freedom and Dignity. Knopf.

* Marcus, G. (2019). Rebooting AI: Building Artificial Intelligence We Can Trust. Pantheon.

* Boden, M. (2018). Artificial Intelligence: A Very Short Introduction. Oxford University Press.

I came around the term vibe-coding by a post from Andrej Karpathy on X:

There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g., Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper so I barely even touch the keyboard. I ask for the dumbest things like "decrease the padding on the sidebar by half" because I'm too lazy to find it. I "Accept All" always, I don't read the diffs anymore. When I get error messages I just copy paste them in with no comment, usually that fixes it. The code grows beyond my usual comprehension, I'd have to really read through it for a while. Sometimes the LLMs can't fix a bug so I just work around it or ask for random changes until it goes away. It's not too bad for throwaway weekend projects, but still quite amusing. I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.

-Andrej Karpathy on X

In my opinion, vibe coding is a new way for people to interact with LLMs. They can create initial features and apps based on their ideas. Highly technical people might be better at explaining what they want to get the desired result. Anyone can use it. I have used Cursor IDE with Claude 3.7 Sonnet, and I really enjoyed the process of building an app in a couple of hours. I also built a personal website in just an hour. I have constantly reviewed the code that the LLM suggested, and this is the responsible way to do it. If you are a beginner in coding or app development, you can use these tools to start learning. For example, you can ask how you can build a navigation bar for a website and how you can change the styling. For me, I ask questions in various LLMs to learn more and mostly double-check my answers using perplexity.

If you would like me to make a podcast comparing the pros and cons of AI coding generation tools, let me know in the comments.

So, what kind of vibes are you getting? Are you going to try to build something vibe-coding?

Tools mentioned:

* Cursor: https://www.cursor.com/pricing

* Windsurf : https://codeium.com/pricing

I would really appreciate it if you liked or commented on any podcast platform that you are listening to. I make this content free for everyone because I want to provide value to the world.

References:

* https://x.com/karpathy/status/1886192184808149383?s=54

* Cursor: https://www.cursor.com/pricing

* Windsurf : https://codeium.com/pricing

* Music generated by Mubert https://mubert.com/render

Have you heard people talk about AI, LLMs, and LORA? Now you can find out what it is.

LoRA stands out for Low-Rank Adaptation, and it is a clever technique that makes training AI models much more accessible and efficient.

Imagine you have a massive, pre-trained AI model that's already good at generating images or text. Instead of trying to modify the entire model (which would be like repainting a whole house), LoRA lets you make minor, targeted adjustments (like just touching up a few walls).

Why LoRA is Amazing for Beginners

LoRA makes AI training accessible because:

* Much less computing power is needed: Instead of training billions of parameters, you might only train a few million.

* Faster results: Training can take minutes or hours instead of days or weeks.

* Less technical knowledge required: Tools like replicate make the process more user-friendly.

* Smaller datasets work: You can achieve good results with just 20-100 quality images.

What You Can Create

With LoRA training, you can teach AI to generate images in specific styles, create consistent characters, or produce specialized content that the original model wasn't capable of.

The process is iterative. You can test your results, make adjustments, and improve your model over time as you learn what works best.

Final Thoughts

LoRA has democratized AI training, making it accessible to hobbyists, artists, and small businesses who previously couldn't afford the computing resources needed for full model training. It's an exciting entry point into the world of AI customization that allows for creativity without the traditional barriers to entry.

Music generated by Mubert https://mubert.com/render

Tools Mentioned (I am not an affiliate of any of these; I just genuinely use their services)

* Google Colab

* Replicate - Training/Fine-tuning using LORA.

* My Hugging Face Account

Thank you! If you enjoyed the content and want to get more, please subscribe. I make all of these episodes for free to share my knowledge with the world.

Citations:

* https://myaiforce.com/real-life-lora-training/

* https://www.datacamp.com/tutorial/mastering-low-rank-adaptation-lora-enhancing-large-language-models-for-efficient-adaptation

* https://www.mimicpc.com/learn/kohya-ss-lora-training-guide

* https://blogs.rstudio.com/tensorflow/posts/2023-06-22-understanding-lora/

* https://turboflip.de/how-to-train-your-own-lora-network-step-by-step-guide-with-kohya/

* https://learn.rundiffusion.com/basic-lora-training-with-kohya/

* https://www.reddit.com/r/StableDiffusion/comments/11vw5k3/lora_training_guide_version_3_i_go_more_indepth/

* https://civitai.com/articles/9340/non-technical-on-site-lora-training-guide-focusing-on-dataset-contents-for-pony-and-illustrious

* https://www.reddit.com/r/StableDiffusion/comments/170f6xx/training_a_lora_on_a_concept/

* https://civitai.com/articles/9005/a-detailed-beginners-guide-to-lora-training-on-civitais-trainer

* https://vancurious.ca/generative-AI-Kohya

* https://datascience.stackexchange.com/questions/130798/why-lora-is-for-fine-tuning-but-not-for-training-too

* https://stable-diffusion-art.com/train-lora/

* https://huggingface.co/docs/diffusers/en/training/lora

* https://civitai.com/articles/3105/essential-to-advanced-guide-to-training-a-lora

* https://datascience.stackexchange.com/questions/123229/understanding-alpha-parameter-tuning-in-lora-paper

Welcome to another episode of Tech Break by Friday. I am Paraskevi, and I am a Software Engineer with expertise in AI. This week, I wanted to discuss what an LLM, or Large Language model, is.

LLMs are artificial intelligence systems able to process and generate text in human language. You might have seen chatbots or language translation applications that use these models. A very famous model is ChatGPT from OpenAI.

You can use LLMs from applications like perplexity. We discussed it in episode 2.

There are some new LLMs released these couple of weeks, and you may find it interesting.

* x.ai released Grok 3 LLM and voice mode. - I really like this because it gives me concise, quality answers.

* Open AI released GPT 4.5. According to their announcement, this is their largest model with a better understanding of the world.

* Lastly, one of my favorite models is the Claude 3.7 Sonnet by Antropic. I have used it intensively, and it has shown significant improvements in coding and agentic use tasks.

As LLMs continue to evolve, they are reshaping how we interact with technology and access information, making them a crucial component of the modern world.

Join the chat to discuss more about interesting tech and AI.

Links below to test the models:

* https://claude.ai/

* https://openai.com/

* https://grok.com/?referrer=website

References:

* https://www.anthropic.com/news/claude-3-7-sonnet

* https://openai.com/index/introducing-gpt-4-5/

* https://x.com/bycloudai/status/1895233722309599364

* https://x.ai/

* https://youtu.be/BDseU-kmDYY?si=Xmu_p8mqoSZ3fhkZ

Music generated by Mubert https://mubert.com/render

Instagram: https://www.instagram.com/tech.break.by.friday/