Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • Using Free AI Tools to Create a 100% Automated Youtube Shorts Channel

    This story was originally published on HackerNoon at: https://hackernoon.com/using-free-ai-tools-to-create-a-100percent-automated-youtube-shorts-channel.


    I created a fully automated youtube channel that posts new videos daily, using free and open source AI tools, earned a whopping 52 subscribers and hated it.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #content-creation, #content-strategy, #automated-youtube-channel, #using-python-to-create-videos, #ai-content-creation, #youtube-experiment, #local-llm-models-use-cases, and more.


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


    With a bunch of free/open source AI tools (coqui tts, local LLMs), and a few python scripts written with the help of gpt4, I created a fully automated youtube channel that posts youtube shorts everyday.
    I got a whopping 52 subscribers after 6 months of wasting electricity
    In the end, I loved the process of creating the channel, but I hated the videos I made.
    Large Language Models (LLMs) has been amazing for me for being code monkeys that helped me write code. For other written purposes, not so much. Its writing are generic, bland and “soulless”, as they say. More than ever now, I’m allergic to generic written shit (which seems like what most of search results and articles are these days)

    10 min
  • ChatGOP? Bring on the AI Suffrage Movement and meanwhile... Taylor Swift For President!

    This story was originally published on HackerNoon at: https://hackernoon.com/chatgop-bring-on-the-ai-suffrage-movement-and-meanwhile-taylor-swift-for-president.


    Should some computer programs, Artificial General Intelligence and Machine Learning in particular, have the right to vote?
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #taylor-swift, #ai-trends, #should-ai-be-able-to-vote, #ai-in-democracy, #ai-for-democracy, #chatgop, #hackernoon-top-story, and more.


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


    Should some computer programs, Artificial General Intelligence and Machine Learning in particular, have the right to vote?

    6 min
  • A Cinematic Tutorial on How to Work With Artificial Intelligence

    This story was originally published on HackerNoon at: https://hackernoon.com/a-cinematic-tutorial-on-how-to-work-with-artificial-intelligence.


    77% of people fear they could lose their jobs to artificial intelligence in the next 12 months. These are the results of a July 2023 study published by Forbes.
    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, #ai-technology, #virtual-human, #tutorial, #tutorials, and more.


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


    In reality, there are no streams of ex-employees leaving their offices with boxes of personal belongings in their hands. Among our colleagues, acquaintances, and clients, there is not a single person who has fired an employee or lost his or her job because artificial intelligence has replaced them. On the contrary, there is a consistent shortage of qualified personnel. This includes those who are able to effectively search for and use various AI applications in their work.

    9 min
  • Simple Wonders of RAG using Ollama, Langchain and ChromaDB

    This story was originally published on HackerNoon at: https://hackernoon.com/simple-wonders-of-rag-using-ollama-langchain-and-chromadb.


    Maximize your query outcomes with RAG. Learn how to leverage Retrieval Augmented Generation for domain-specific questions effectively.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #machine-learning, #llms, #open-source, #vector-database, #vector-embedding, #rag-architecture, #rag-tutorial, and more.


    This story was written by: @arjunrao1987. Learn more about this writer by checking @arjunrao1987's about page,
    and for more stories, please visit hackernoon.com.

    11 min
  • AI in Social Media: Ethical Considerations of AI and Algorithms in Shaping Social Media Interactions

    This story was originally published on HackerNoon at: https://hackernoon.com/ai-in-social-media-ethical-considerations-of-ai-and-algorithms-in-shaping-social-media-interactions.


    AI and algorithms in social media might sound like a significant step forward for these platforms, but it could lead to ethical issues if we're not careful.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #ai-ethics, #social-media, #future-of-ai, #ai-in-social-media, #ethical-considerations-of-ai, #social-media-interactions, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.


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


    This article delves into the influence of social media, tracing its evolution and the pivotal role of AI and algorithms in content personalization. It discusses the ethical implications, such as privacy concerns and bias, that arise from the use of consumer data by companies like Meta. The article also examines the potential for algorithms to create echo chambers and the need for regulatory measures to address algorithmic bias, aiming for a balanced approach between innovation and user protection in the rapidly evolving digital landscape.

    10 min
  • Backpropagation - The Most Fundamental Training Systems Algorithm in Modern Generative AI

    This story was originally published on HackerNoon at: https://hackernoon.com/backpropagation-the-most-fundamental-training-systems-algorithm-in-modern-generative-ai.


    A simple history and explanation of the significance, importance, and the almost infinite power of neural networks.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #backpropagation, #universal-algorithm, #generative-ai, #machine-learning, #neural-networks, #dynamical-systems, #mathematical-background, #universal-approximators, 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.


    Why does AI have such unlimited potential? What does machine learning seem like it can do anything? Why are there no limits to what the human race can do with AI? The backpropagation algorithm - and this article - has all the answers, including a very clear explanation of the universal approximation theorem in neural networks systems theory.

    19 min
  • Enhancing Chemistry Learning with ChatGPT, Bing Chat, Bard, and Claude as Agents-to-Think-With

    This story was originally published on HackerNoon at: https://hackernoon.com/enhancing-chemistry-learning-with-chatgpt-bing-chat-bard-and-claude-as-agents-to-think-with.


    Discover how GenAIbots like ChatGPT, Bing Chat, Bard, and Claude are transforming Chemistry education.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-in-education, #chemistry-education, #agents-to-think-with, #genaibots, #edtech, #future-of-education, #personalized-learning, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.


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


    This research explores how GenAIbots, including ChatGPT, Bing Chat, Bard, and Claude, are revolutionizing Chemistry education by enhancing critical thinking, problem-solving, and comprehension. ChatGPT emerges as the top performer, offering dynamic, inclusive learning experiences and aligning with constructivist principles.

    10 min
  • How AI is Disrupting The Way Educators Teach

    This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-is-disrupting-the-way-educators-teach.


    Educators are beginning to incorporate AI into the classroom at nearly every grade level making the learning experience more personalized and efficient.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #edtech, #education, #online-education, #teachers, #elearning, #ai, #parents, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.


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


    Educators across the globe are beginning to incorporate Artificial Intelligence (AI) into the classroom at nearly every grade level. It shapes how we learn and teach, making the learning experience more engaging, personalized, and efficient.

    9 min
  • Lidar Annotation is All You Need

    This story was originally published on HackerNoon at: https://hackernoon.com/lidar-annotation-is-all-you-need.


    The fusion of point cloud and image data for accurate road surface segmentation in camera images.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #deep-learning, #autonomous-vehicles, #semantic-segmentation, #model-training, #dataset-annotation, #self-driving-cars, #lidar-annotation, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.


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


    The fusion of point cloud and image data for accurate road surface segmentation in camera images.

    9 min
  • Why Integrating Low Resource Languages Into LLMs Is Essential for Responsible AI

    This story was originally published on HackerNoon at: https://hackernoon.com/why-integrating-low-resource-languages-into-llms-is-essential-for-responsible-ai.


    Discover how innovations in LLMs are revolutionizing support for low-resource languages, bridging linguistic gaps, and fostering inclusivity in AI inclusivity.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-research, #generative-ai, #responsible-ai, #machine-learning, #inclusive-ai, #artificial-intelligence, #llm-research, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.


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


    The article explores challenges faced by low resource languages in accessing large language models (LLMs) and presents innovative strategies, like creating high-quality fine-tuning datasets, to improve LLM performance, particularly focusing on Swahili as a case study. These advancements contribute to a more inclusive AI ecosystem, supporting linguistic diversity and accessibility.

    7 min

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