Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • How to Build a Text Summarizer with Gradio and Hugging Face Transformers

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-text-summarizer-with-gradio-and-hugging-face-transformers.


    Craft concise summaries like a pro: Build your text summarizer web app with Gradio and NLP magic.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #natural-language-processing, #text-summarization, #huggingface-transformers, #gradio, #machine-learning-tutorials, #practical-ai-application, #text-summarization-with-gradio, #machine-learning-models, and more.


    This story was written by: @rajeshai1729. Learn more about this writer by checking @rajeshai1729's about page,
    and for more stories, please visit hackernoon.com.


    Text summarization is the task of creating a shorter version of a document or an article. It is useful for quickly understanding the content of long texts, such as research papers, or blog posts. In this article, we will show you how to build a text summarizer with Gradio and Hugging Face transformers.

    4 min
  • Is Microsoft's AI Copilot the Future of Work?

    This story was originally published on HackerNoon at: https://hackernoon.com/is-microsofts-ai-copilot-the-future-of-work.


    Microsoft offers a glimpse into a future where AI significantly bolsters workplace productivity.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #artificial-intelligence, #microsoft, #future-of-work, #productivity, #llm, #chatgpt, #openai, and more.


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


    Microsoft’s Copilot tools lead to a marked increase in task execution speed, without a notable decrease in quality. Users who have interacted with LLM-based tools show a higher willingness to pay for them, indicating that these tools offer value beyond initial expectations. The research anticipates broader application across various tasks and roles, hinting at a future where AI's role in productivity is more pervasive.

    5 min
  • Neural Networks, LLMs, & GPTs Explained: AI for Web Devs

    This story was originally published on HackerNoon at: https://hackernoon.com/neural-networks-llms-and-gpts-explained-ai-for-web-devs.


    Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.

    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #neural-networks, #llms, #gpt, #ai-explained-for-beginners, #learn-about-ai, #artificial-neural-network, #llm-parameters, and more.


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


    That’s well and good, but it’s really not much more than a glorified HTTP client. There’s still a lot we can do to make the app much nicer for users, but before we continue building it, I thought it would be a good idea to learn more about how these AI tools actually work.

    9 min
  • What is The True Price of Generative AI?

    This story was originally published on HackerNoon at: https://hackernoon.com/what-is-the-true-price-of-generative-ai.


    Having a well-thought-out plan will not only help you adopt the technology in a risk-free way and reap the benefits faster but also reduce the cost of gen AI.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #generative-ai-cost, #ai-cost, #ai-price, #gen-ai-price, #gen-ai-cost, #generative-ai-in-business, #good-company, #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: @itrex. Learn more about this writer by checking @itrex's about page,
    and for more stories, please visit hackernoon.com.

    29 min
  • How AI Is Impacting The Quality Care and Client Acquisition in Home Cares

    This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-is-impacting-the-quality-care-and-client-acquisition-in-home-cares.


    The invention of Artificial Intelligence in the healthcare field has changed everything. Home care businesses have undergone a deep change...
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-in-healthcare, #ai-in-care-homes, #assisted-home-care-services, #ai-in-medicine, #healthcare-tech, #ai-technology, #client-acquisition, #human-touch, and more.


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


    Home care businesses have undergone a deep change in adjusting to the fine line between sophisticated technology and indispensable human intervention. Real-time data analyzing AI algorithms provide necessary information to medical workers, who can make wise decisions based on received conclusions. The emergence of remote nursing has changed modern healthcare into a more linked system, reducing the gap between patients and caregivers.

    6 min
  • The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback

    This story was originally published on HackerNoon at: https://hackernoon.com/the-alignment-ceiling-objective-mismatch-in-reinforcement-learning-from-human-feedback.


    Explore the intricacies of reinforcement learning from human feedback (RLHF) and its impact on large language models.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #reinforcement-learning, #rlhf, #llm-development, #llm-technology, #llm-research, #llm-training, #ai-model-training, #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: @feedbackloop. Learn more about this writer by checking @feedbackloop's about page,
    and for more stories, please visit hackernoon.com.


    Discover the challenges of objective mismatch in RLHF for large language models, affecting the alignment between reward models and downstream performance. This paper explores the origins, manifestations, and potential solutions to address this issue, connecting insights from NLP and RL literature. Gain insights into fostering better RLHF practices for more effective and user-aligned language models.

    7 min
  • Objective Mismatch in Reinforcement Learning from Human Feedback: Acknowledgments, and References

    This story was originally published on HackerNoon at: https://hackernoon.com/objective-mismatch-in-reinforcement-learning-from-human-feedback-acknowledgments-and-references.


    This conclusion highlights the path toward enhanced accessibility and reliability for language models.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #reinforcement-learning, #rlhf, #llm-research, #llm-training, #llm-technology, #llm-optimization, #ai-model-training, #llm-development, and more.


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


    Discover the challenges of objective mismatch in RLHF for large language models, affecting the alignment between reward models and downstream performance. This paper explores the origins, manifestations, and potential solutions to address this issue, connecting insights from NLP and RL literature. Gain insights into fostering better RLHF practices for more effective and user-aligned language models.

    10 min
  • BYOK (BringYourOwnKey) in Generative AI is a Double-edged Sword

    This story was originally published on HackerNoon at: https://hackernoon.com/byok-bringyourownkey-in-generative-ai-is-a-double-edged-sword.


    Do you know what Bring Your Own Key (BYOK) in generative AI is? Read on and learn more about this new AI concept.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #artificial-intelligence, #large-language-models, #machine-learning, #byok, #bring-your-own-keys, #byok-generative-ai, #byok-relevance-in-ai, and more.


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


    Bring Your Own Key (BYOK) in generative AI refers to a model where users bring their pre-trained language models for use in an AI application or platform. Users can choose the specific language model that aligns with their needs, preferences, or the application's requirements.
    This approach contrasts with the conventional model, where developers make decisions on behalf of the users regarding the algorithms that power the AI.

    8 min
  • PrivateGPT for Book Summarization: Testing and Ranking Configuration Variables

    This story was originally published on HackerNoon at: https://hackernoon.com/privategpt-for-book-summarization-testing-and-ranking-configuration-variables.


    Summarizing books with local llm. My methods for testing and optimizing the use of PrivateGPT for book summaries.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #open-source-llm, #llm-optimization, #huggingface-book-summarizer, #mistral-book-summarizer, #ai-book-summarizer, #book-summarizer-gpt, #create-ai-book-summarizer, #hackernoon-top-story, and more.


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


    There are many variables when implementing large language models. Lets test and refine our processes for summarizing books using PrivateGPT, powered by NVIDIA RTX 3060 12GB.

    24 min
  • Table-driven Prompt Design: How to Enhance Analysis and Decision Making in your Software Development

    This story was originally published on HackerNoon at: https://hackernoon.com/table-driven-prompt-design-how-to-enhance-analysis-and-decision-making-in-your-software-development.


    Here I’d like to focus on a specific kind of AI prompts - table-driven prompts. They can benefit the workflows and value streams in your software development
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #chatgpt, #prompt-engineering, #table-driven-ai-prompts, #table-driven-prompt-design, #prompt-engineering-guide, #chatgpt-prompt-engineering-tip, #effective-prompt-engineering, #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: @davramenko. Learn more about this writer by checking @davramenko's about page,
    and for more stories, please visit hackernoon.com.


    Here I’d like to focus on a specific kind of AI prompts - table-driven prompts. They can benefit the workflows and value streams in your software development.

    11 min

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