Machine Learning Tech Brief By HackerNoon

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Learn the latest machine learning updates in the tech world.

  1. The Ethics of Local LLMs: Responding to Zuckerberg's "Open Source AI Manifesto"

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    The Ethics of Local LLMs: Responding to Zuckerberg's "Open Source AI Manifesto"

    This story was originally published on HackerNoon at: https://hackernoon.com/the-ethics-of-local-llms-responding-to-zuckerbergs-open-source-ai-manifesto. This post explains the reason why Zuckerberg integrated Fediverse and open-sourced LLaMA, and it is not because of his virtue. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #large-language-models, #open-source, #free-software, #philosophy, #llama, #critical-theory, #ecology, #hackernoon-top-story, and more. This story was written by: @techshinobi. Learn more about this writer by checking @techshinobi's about page, and for more stories, please visit hackernoon.com. This post explains the reason why Zuckerberg integrated Fediverse and open-sourced LLaMA, and it is not because of his virtue. And why FOSS is the way to cure Capitalism's disease and to save our environment?

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  2. How to Leverage LLMs for Effective and Scalable Software Development

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    How to Leverage LLMs for Effective and Scalable Software Development

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-leverage-llms-for-effective-and-scalable-software-development. The following are some key coding principles and development practices that can be applied to LLM-assisted software development Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #claude-3.5-sonnet, #prompt-engineering, #software-architecture, #llms-guide, #scalable-software-development, #hackernoon-top-story, #component-based-architecture, and more. This story was written by: @bishalbaral. Learn more about this writer by checking @bishalbaral's about page, and for more stories, please visit hackernoon.com. YCombinator CEO Garry Tan tweeted a post by a YCombinator Reddit community member about writing code with Claude 3.5 Sonnet. The post highlighted the importance of making sound architectural and infrastructural decisions as a crucial part of their day-to-day LLM use.

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  3. How to Use GaiaNet Chat: A Step-by-Step Guide

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    How to Use GaiaNet Chat: A Step-by-Step Guide

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-use-gaianet-chat-a-step-by-step-guide. This article tell the process of setting up and using GaiaNet Chat, highlighting its features and providing practical tips for maximizing its potential Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #chatbots, #gaianet, #artificial-intelligence, #tech-tutorial, #chatgpt-alternatives, #new-chatbots, #genai-agents, and more. This story was written by: @zulfanbaswed. Learn more about this writer by checking @zulfanbaswed's about page, and for more stories, please visit hackernoon.com. GaiaNet Chat is a powerful AI-driven chat interface that makes it easy to interact with various models for different purposes. With its intuitive interface and powerful nodes, you can get the assistance you need quickly and efficiently. Here’s a step-by-step guide on how to use GaiaNet Chat.

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  4. One Machine per Adult and Child: What the...

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    One Machine per Adult and Child: What the...

    This story was originally published on HackerNoon at: https://hackernoon.com/one-machine-per-adult-and-child-what-the. Imagine living in a world where everyone has their own AI assistant - one for every adult, every child. It sounds like something straight out of "The Matrix," Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #ai-robot, #futurism, #future-of-ai, #ai-and-humanity, #hurdles-of-ai, #history-of-ai, #private-llm, and more. This story was written by: @javieralcivar. Learn more about this writer by checking @javieralcivar's about page, and for more stories, please visit hackernoon.com. Mark Zuckerberg recently predicted as many AI agents as there are people on Earth. The future of AI is not just about cool tech; it’s about understanding ourselves better. We need to make sure AI development is fair and ethical to prevent misuse. Ensuring everyone can access this technology is key to avoiding a bigger digital divide.

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  5. Do Businesses Really Have to Invest in Generative AI?

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    Do Businesses Really Have to Invest in Generative AI?

    This story was originally published on HackerNoon at: https://hackernoon.com/do-businesses-really-have-to-invest-in-generative-ai. We have been told for couple of years that Generative AI is the best thing to have happened to the world of business in a very long time. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #investing-in-ai, #genai, #business-strategy, #businesses-and-ai, #the-future-of-generative-ai, #the-truth-about-ai, #ai-integration, #genai-adoption, and more. This story was written by: @vlabroo. Learn more about this writer by checking @vlabroo's about page, and for more stories, please visit hackernoon.com. As many as 85% of business leaders plan to increase their company’s spending in AI and GenAI by a whopping 85% in 2024. 54% of them think that AI will deliver cost savings in the current year on account of productivity gains across operations, customer service and IT. But one can, all the same, detect an element of disenchantment with the technology.

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  6. Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement

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    Building Multimodal Generative AI Systems: Architecture, Refinement, and Enhancement

    This story was originally published on HackerNoon at: https://hackernoon.com/building-multimodal-generative-ai-systems-architecture-refinement-and-enhancement. Generative AI systems are built in blocks, each performing a distinct function and interacting with other blocks to achieve a larger goal. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #generative-ai, #ai, #ai-agent, #multimodal-models, #ai-architecture, #ai-enhancement, #data-augmentation, #ai-integrations, and more. This story was written by: @tona. Learn more about this writer by checking @tona's about page, and for more stories, please visit hackernoon.com. Generative AI systems are built in blocks, each performing a distinct function and interacting with other blocks to achieve a larger goal. The rise of Generative Multimodal Models brings up a new perspective of thinking of AI as a system rather than Large Language Models (LLMs) alone.

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  7. From Solitude to Connection: Leveraging Self-Knowledge and AI-Powered Partner Selection

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    From Solitude to Connection: Leveraging Self-Knowledge and AI-Powered Partner Selection

    This story was originally published on HackerNoon at: https://hackernoon.com/from-solitude-to-connection-leveraging-self-knowledge-and-ai-powered-partner-selection. Let’s look at how needs and values can help people identify the reason for their involuntary solitude and how AI-powered partner selection can help. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #ai, #dating, #society, #tech-companies, and more. This story was written by: @therealsjr. Learn more about this writer by checking @therealsjr's about page, and for more stories, please visit hackernoon.com. More people are consciously choosing solitude. For some, solitude feels more comfortable, allowing them to focus on their interests and self-realization. For others, solitude becomes a temporary solution rather than a conscious choice. To move beyond this stage and find a suitable partner, it is crucial to understand one's needs, values, and personality traits.

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  8. NExT-GPT: Any-to-Any Multimodal LLM: Abstract and Intro

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    NExT-GPT: Any-to-Any Multimodal LLM: Abstract and Intro

    This story was originally published on HackerNoon at: https://hackernoon.com/next-gpt-any-to-any-multimodal-llm-abstract-and-intro. In this study, researchers present an end-to-end general-purpose any-to-any MM-LLM system called NExT-GPT. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #large-language-models, #mm-llms, #next-gpt, #multimodal-adaptors, #diffusion-decoders, #any-to-any-mm-llms, #mosit, #artificial-intelligence, and more. This story was written by: @autoencoder. Learn more about this writer by checking @autoencoder's about page, and for more stories, please visit hackernoon.com. In this study, researchers present an end-to-end general-purpose any-to-any MM-LLM system called NExT-GPT.

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