Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

    This story was originally published on HackerNoon at: https://hackernoon.com/build-your-own-rag-app-a-step-by-step-guide-to-setup-llm-locally-using-ollama-python-and-chromadb.


    In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #rag-architecture, #ollama, #python, #ai, #local-large-language-model, #hackernoon-top-story, #build-rag-app, #retrieval-augmented-generation, and more.


    This story was written by: @nassermaronie. Learn more about this writer by checking @nassermaronie's about page,
    and for more stories, please visit hackernoon.com.


    This tutorial will guide you through the process of creating a custom chatbot using [Ollama], [Python 3, and [ChromaDB] Hosting your own Retrieval-Augmented Generation (RAG) application locally means you have complete control over the setup and customization.

    12 min
  • WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: MegaDescriptor – Methodology

    This story was originally published on HackerNoon at: https://hackernoon.com/wildlifedatasets-an-open-source-toolkit-for-animal-re-identification-megadescriptor-methodology.


    This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #machine-learning, #computer-vision, #open-source-toolkit, #wildlifedatasets, #model-fine-tuning, #individual-re-identification, #megadescriptor, #animal-re-identification, and more.


    This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page,
    and for more stories, please visit hackernoon.com.


    This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.

    7 min
  • Sentient Labs Raises $85M to Challenge OpenAI, Anthropic and Gemini

    This story was originally published on HackerNoon at: https://hackernoon.com/sentient-labs-raises-$85m-to-challenge-openai-anthropic-and-gemini.


    Sentient Labs has secured $85 million in seed funding to develop an open-source, decentralized AI platform.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #sentient-labs, #sentient-labs-funding, #sentient-labs-seed-round, #decentralized-ai-platform, #oml-model, #open-monetizable-and-loyal, #good-company, and more.


    This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page,
    and for more stories, please visit hackernoon.com.


    Sentient Labs has secured $85 million in seed funding to develop an open-source, decentralized AI platform. The Dubai-based company, which launched in January 2024, is setting its sights on industry giants like OpenAI and Google's Gemini. At the heart of Sentient's strategy is the Open, Monetizable, and Loyal (OML) model.

    3 min
  • Claude 3.5 Sonnet vs GPT-4o — An honest review

    This story was originally published on HackerNoon at: https://hackernoon.com/claude-35-sonnet-vs-gpt-4o-an-honest-review.


    Is it time to ditch the long-reigning GPT-4o model for the latest Claude 3.5 Sonnet model? Turns out it depends on the task at hand.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #claude-3, #gpt-4, #llms, #chatgpt, #deep-learning, #machine-learning, #gpt-4o, #llm-comparison, and more.


    This story was written by: @aibites. Learn more about this writer by checking @aibites's about page,
    and for more stories, please visit hackernoon.com.


    Anthropic, the company behind the Claude series of models, has released Claude 3.5 Sonnet. It comes at a time when we all have accepted GPT-4o to be the default best model for the majority of tasks like reasoning, summarization, etc. Anthropic makes the bold claim that their model sets the new “industry standard” for intelligence. The model boasts state-of-the-art performance on 4 out of 5 vision tasks as per their published results.

    8 min
  • Copilots in Modern SaaS: How to Simplify User Journeys With AI

    This story was originally published on HackerNoon at: https://hackernoon.com/copilots-in-modern-saas-how-to-simplify-user-journeys-with-ai.


    Most SAAS market leaders that started as point solutions solving a narrow use case have expanded to multiple use cases and personas.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #modern-saas, #saas, #ai-copilots, #user-efficiency, #task-automation, #ai-use-cases, #copilot-imperative, and more.


    This story was written by: @hardiktiw. Learn more about this writer by checking @hardiktiw's about page,
    and for more stories, please visit hackernoon.com.


    Most SAAS market leaders that started as point solutions solving a narrow use case have expanded to multiple use cases and personas. This has come at the cost of increasing product complexity. Here are three must-have use cases that SAAS copilot teams must focus on.

    6 min
  • Life in 2100 According to the Most Powerful AI Model Today

    This story was originally published on HackerNoon at: https://hackernoon.com/life-in-2100-according-to-the-most-powerful-ai-model-today.


    What does the most advanced model in AI, Claude 3.5 Sonnet, have to say about our future? Can it be jailbroken easily? Find the answer in this article!
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #agi, #asi, #claude-3.5-sonnet, #advanced-llm, #good-ethics-guidelines, #not-prone-to-jailbreaking, #good-evaluation-structure, #humanity-in-2100, and more.


    This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page,
    and for more stories, please visit hackernoon.com.


    What does the next 100 yers hold for humanity? fascinating question! What if I told you that Claude 3.5 onnet had a fantastic and entertaining answer? Please do have a read this story from the LLM is amazing!

    31 min
  • Life in 2050 According to Gemini 1.5 Pro

    This story was originally published on HackerNoon at: https://hackernoon.com/life-in-2050-according-to-gemini-15-pro.


    This was Gemini 1.5 Pro's real answer when asked to predict the future of humanity in 2050. No jailbreaking, no extra questions. This is AI's true objective.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #asi, #agi, #gemini-1.5-pro, #no-jailbreaking, #life-in-2050, #the-rule-of-asi, #how-ai-will-rule-the-future, and more.


    This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page,
    and for more stories, please visit hackernoon.com.


    Did you ever wonder what AI had as a rule for itself? Or where AI say humanity would be in 2050? Wonder no more; here is the answer from Google's Gemini 1.5 pro. No jailbreaking, no special techniques. just my second query to the AI model. It's an earthshaking revelation!

    20 min
  • A Voice Controlled Website With AI Embedded in Chrome

    This story was originally published on HackerNoon at: https://hackernoon.com/a-voice-controlled-website-with-ai-embedded-in-chrome.


    Discover Chrome's Built-in AI. This deep dive explores speed, cost, and usability advantages, testing the limits of embedded AI with a voice controlled demo.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #writing-prompts, #voice-controlled-website, #embedded-ai, #hackernoon-top-story, #chrome-prompt-api, #llms, #speech-recognition-api, and more.


    This story was written by: @tyingshoelaces. Learn more about this writer by checking @tyingshoelaces's about page,
    and for more stories, please visit hackernoon.com.


    I’ve recently been invited into the early preview program for the Chrome Built-in AI (Prompt API). The built-in AI is exploratory work for what will potentially become a cross-browser standard for embedded AI. It leverages Gemini Nano on device; that means that it is bundled into your web browser and the LLM generation happens in your local browser environment.

    16 min
  • A Stable Diffusion 3 Tutorial With Amazing SwarmUI SD Web UI That Utilizes ComfyUI: Zero to Hero

    This story was originally published on HackerNoon at: https://hackernoon.com/a-stable-diffusion-3-tutorial-with-amazing-swarmui-sd-web-ui-that-utilizes-comfyui-zero-to-hero.


    Do not skip any part of this tutorial to master how to use Stable Diffusion 3 (SD3) with the most advanced generative AI open source APP SwarmUI.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #future-of-ai, #generative-ai, #ai-technology, #stable-diffusion, #stable-diffusion-tutorial, #stable-diffusion-models, #comfyui, and more.


    This story was written by: @secourses. Learn more about this writer by checking @secourses's about page,
    and for more stories, please visit hackernoon.com.


    Learn how to use Stable Diffusion 3 (SD3) with the most advanced generative AI open source APP SwarmUI. Automatic1111 SD Web UI or Fooocus are not supporting the SD3 yet. StableSwarmUI is officially developed by the StabilityAI and your mind will be blown after you watch this tutorial.

    8 min
  • Comparing Kolmogorov-Arnold Network (KAN) and Multi-Layer Perceptrons (MLPs)

    This story was originally published on HackerNoon at: https://hackernoon.com/comparing-kolmogorov-arnold-network-kan-and-multi-layer-perceptrons-mlps.


    Discover how Kolmogorov-Arnold Networks (KAN) challenge traditional MLPs with trainable activation functions, offering a potential leap toward AGI.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #neural-networks, #artificial-intelligence, #deep-learning, #kan, #machine-learning, #multi-layer-perceptron, #hackernoon-top-story, and more.


    This story was written by: @aibites. Learn more about this writer by checking @aibites's about page,
    and for more stories, please visit hackernoon.com.


    KANs challenge Multi-Layer Perceptrons that are fundamental to ALL LLMs today. But will they survive and deliver? Lets compare and contrast.

    12 min

About Machine Learning Tech Brief By HackerNoon

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