Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

By HackerNoonNewsTech News
Download on the App Store

Machine Learning Tech Brief By HackerNoon episodes

  • Leveraging Natural Supervision: Appendix A - Appendix to Chapter 3

    This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-natural-supervision-appendix-a-appendix-to-chapter-3.


    In this study, researchers describe three lines of work that seek to improve the training and evaluation of neural models using naturally-occurring supervision.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llm-natural-supervision, #llm-self-supervision, #llm-language-pretraining, #llm-word-prediction, #ai-language-modeling, #ai-vector-representations, #ai-neural-models, #ai-sentence-representations, 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.


    In this study, researchers describe three lines of work that seek to improve the training and evaluation of neural models using naturally-occurring supervision.

    11 min
  • AI Is Everywhere — So Where's the Funding?

    This story was originally published on HackerNoon at: https://hackernoon.com/ai-is-everywhere-so-wheres-the-funding.


    No surprize that AI has significantly changed the business landscape – but it turns out that those shifts are not only those one may have expected.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #business, #generative-ai, #influencers, #future-of-ai, #ai-trends, #ai-applications, #hackernoon-top-story, and more.


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


    Even with AI grabbing headlines, startups diving into this area often hit a wall when it comes to getting funded. And it's no surprise – for investors, discerning truly innovative AI solutions is becoming increasingly difficult. They often wait for the fog to clear on who's leading the market and which business models actually work before they decide where to put their money.

    9 min
  • Beyond the Answer Box: How AI Overviews Impact Search and Content

    This story was originally published on HackerNoon at: https://hackernoon.com/beyond-the-answer-box-how-ai-overviews-impact-search-and-content.


    Exploring public concerns and the potential impact of Google's AI Overviews on content creators, consumers, and the future of search.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #ai-search, #ai-generated-content, #google-ai, #future-of-content-marketing, #ai-powered-seo, #website-traffic, #hackernoon-top-story, and more.


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


    AI Overviews in Google Search might hurt small content creators, but could also be a goldmine for fact-checking startups. TLDR; Unclear yet, but focus on great and unique content.

    10 min
  • LLMs Cannot Find Reasoning Errors, but They Can Correct Them!

    This story was originally published on HackerNoon at: https://hackernoon.com/llms-cannot-find-reasoning-errors-but-they-can-correct-them.


    In this paper, we break down the self-correction process into two core components: mistake finding and output correction.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #llm-mistake-finding, #llm-output-correction, #big-bench-mistake, #chain-of-thought, #nlp, #self-consistency, #zero-shot-prompting, 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.


    Large Language Models (LLMs) have dominated the field of NLP in recent years. LLMs have demonstrated the ability to solve tasks with zero- or few-shot prompting. Recent literature has focused on the concept of self-correction, i.e. having an LLM correct its own outputs. Attempts to self-correct logical or reasoning errors often cause correct answers to become incorrect, resulting in worse performances overall. In this paper, we break down the self-Correction process into two core components: mistake finding and output correction. For mistake finding, we release BIG-Bench Mistake, a dataset of logical mistakes in Chain-of-Thought reasoning traces. For output

    7 min
  • How Can AI Improve Sustainable Business Communication?

    This story was originally published on HackerNoon at: https://hackernoon.com/how-can-ai-improve-sustainable-business-communication.


    AI is revolutionizing business communication, enhancing productivity, personalization, and accessibility, while addressing ethical considerations and promoting
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-in-business, #business, #sustainable-business, #business-communication, #ai-for-business, #using-ai-for-your-business, #team-communication, #ai-businesses-communication, and more.


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


    When harnessed correctly, AI can dramatically enhance communication, internally and externally. The responsible use of AI in business communication demands ethical considerations and a balance between automation efficiency and people-centered approaches. Successful human-AI collaboration is already well underway and yielding impressive results. The financial implications are astounding, with poor communication costing enterprises $1.2 trillion annually.

    7 min
  • Will AI Replace All Jobs in the Future?

    This story was originally published on HackerNoon at: https://hackernoon.com/will-ai-replace-all-jobs-in-the-future.


    If people don’t need to work for a living, our world will become a vast wasteland of purposelessness.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #future-of-ai, #ai-applications, #elon-musk-on-ai, #future-of-work, #universal-basic-income, #ai-integration, #work-automation, #ai-trends, and more.


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


    Billionaire entrepreneur Elon Musk predicted recently that AI will eventually replace all jobs in the future. He said that in order for this to work, a universal high income would need to be set up and implemented. But if people don’t need to work for a living, our world will become a vast wasteland of purposelessness.

    6 min
  • As Healthcare AI Advances, How Do we Balance the Benefits With Privacy Concerns?

    This story was originally published on HackerNoon at: https://hackernoon.com/as-healthcare-ai-advances-how-do-we-balance-the-benefits-with-privacy-concerns.


    The first concern is the privacy of the data used to train these models, second is the model's response based on the input of the patient’s data.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #healthcare, #cybersecurity, #ai-in-healthcare, #future-of-ai-in-healthcare, #ai-privacy-concerns, #advancements-in-healthcare-ai, #future-of-ai, and more.


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


    Artificial intelligence (AI) in healthcare has the potential to revolutionize clinical research and care delivery. AI can be used to sift through massive databases and may have applications in mental healthcare and cancer detection. The concerns are in two categories. The first concern is the privacy of the data used to train these models, second is the model's response based on the input of the patient’s data.

    6 min
  • Lessons From Next-Gen Social: Strategies for User-Centric AI Deployment

    This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-lessons-from-next-gen-social-enterprise-strategies-for-user-centric-ai-deployment.


    Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-ethics, #social-media, #ai-trends, #responsible-ai, #tech-diversity, #llms, #user-centric-ai-deployment, #user-centric-machine-learning, and more.


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


    Social media platforms like Lips, Landing, and Diem are addressing AI challenges in data privacy and bias through user-centric data annotation and ethical AI practices. Engaging users in moderation and recommendation processes improves transparency and inclusivity. Innovative strategies like federated learning and differential privacy help maintain user trust and privacy. These approaches set new standards for responsible AI deployment in social media.

    13 min
  • Generative AI Model: GANs (Part 1)

    This story was originally published on HackerNoon at: https://hackernoon.com/generative-ai-model-gans-part-1.


    This blog will be talking about the model components of Generative Neural Networks (GANs) GAN is an unsupervised learning technique
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #gans, #what-is-generative-ai, #generative-ai-explained, #model-architectures, #what-is-a-generator-in-ai, #what-is-a-discriminator-in-ai, #how-does-generative-ai-work, and more.


    This story was written by: @jyotiyadav33111. Learn more about this writer by checking @jyotiyadav33111's about page,
    and for more stories, please visit hackernoon.com.


    This blog will be talking about the model components of Generative Neural Networks (GANs) GAN is an unsupervised learning technique where training data full of images is added as an input with no labels. Let’s deep dive into the model Architecture. What is Generative AI? It is a subset of Artificial Intelligence that can generate new data.

    5 min
  • I Asked the Mixtral LLM a Question About AGI. This was the Shocking Response.

    This story was originally published on HackerNoon at: https://hackernoon.com/i-asked-the-mixtral-llm-a-question-about-agi-this-was-the-shocking-response.


    Why is everyone so worried about the progress of AGI? This article has the answer - literally - from an AI in the form of a Large Language Model.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llm, #agi, #is-ai-dangerous, #super-agi, #threatening-humanity, #risk-to-humans, #possible-extinction, #answer-from-the-ai's-mouth, 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.


    'List every inevitable situation that is likely to arise as AGI develops' was my question to Mixtral LLM (Large Language Model). This was the incredible answer it gave me.

    17 min

About Machine Learning Tech Brief By HackerNoon

From the publisher's feed

Learn the latest machine learning updates in the tech world.

More shows like Machine Learning Tech Brief By HackerNoon

Silicon Carne, un peu de picante dans un monde de Tech ! by Carlos Diaz

Silicon Carne, un peu de picante dans un monde de Tech !

75 Listeners