Vector DBs on the other hand feel to me like a new type of relational database index that are pretending to be a whole new kind of database
RESEARCH
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RAG Remains Essential for Large Language Models
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I can't imagine RAG becoming irrelevant. Even long context LLMs still need to have documents selectively added to that context to increase the chance of a correct answer, and I don't see any other way of answering questions using content that's only a few minutes/hours old
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MIT Develops Wearable Soft Robotics with Integrated Sensing Technology
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MIT Researchers Develop Wearable Soft #Robotics with Integrated Sensing That Look Like Banana
— Ronald van Loon (@Ronald_vanLoon) 3 avril 2024
by @gigadgets_#AI #MachineLearning #Tech #Technology #Innovation #TechForGood
cc: @bigdata @patrickgunz_ch @ravikikan pic.twitter.com/Mb7dMgB9GKMIT Researchers Develop Wearable Soft #Robotics with Integrated Sensing That Look Like Banana by @gigadgets_ #AI #MachineLearning #Tech #Technology #Innovation #TechForGood cc: @bigdata @patrickgunz_ch @ravikikan
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Anthropic Discovers Many-Shot Jailbreaking Technique for LLMs
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Anthropic researchers have discovered a new "jailbreaking" technique called "many-shot jailbreaking". It can evade the safety guardrails of LLMs by exploiting expanded context windows. Pretty wild.
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Princeton’s SWE-Agent Turns GPT-4 Into Autonomous Software Engineer
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Researchers from Princeton NLP have developed SWE-agent.
— Rowan Cheung (@rowancheung) 3 avril 2024
It's an open-sourced AI agent that turns GPT-4 into an autonomous software engineer.
The agent achieved accuracy similar to Devin and resolved 12.29% of issues autonomously. https://t.co/LPUtjPaIwaResearchers from Princeton NLP have developed SWE-agent. It's an open-sourced AI agent that turns GPT-4 into an autonomous software engineer. The agent achieved accuracy similar to Devin and resolved 12.29% of issues autonomously.
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Apple introduces ReALM, AI system outperforming GPT-4
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In a research paper, Apple researchers introduced ReALM. It's a new AI system that can understand on-screen tasks, conversational context, and background processes. Researchers said it 'substantially outperformed' GPT-4. Read more: https://
therundown.ai/p/apple-introd
uces-realm
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Apple’s Screen-Understanding AI Model and Latest AI Developments
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AI NEWS: Apple researchers just revealed a new AI model that can 'see' and understand screen context. Plus, more developments from an open-sourced AI agent called SWE-agent, Anthropic, Apple Vision Pro, and Baidu. Here's everything going on in AI right now:
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Computational Model Advances Diabetes Drug Design at MIT
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Computational model helps with diabetes drug design
by Anne Trafton @MIT Read more: https://
buff.ly/3RvX4fP #HealthTech #Healthcare #TechForGood #Tech #Technology cc: @nathealings @nathealings @guzmannutrition -
Essential Guides to Understanding LLM Technology for Beginners
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The big three guides to the underlying technology of LLMs for non-specialists:
Wolfram’s essay on how ChatGPT works: https://
writings.stephenwolfram.com/2023/02/what-i
s-chatgpt-doing-and-why-does-it-work/
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Lee and Trot’s essay on LLMs with minimum jargon: https://
understandingai.org/p/large-langua
ge-models-explained-with
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3blue1brown’s new video on transformers: https://
youtu.be/wjZofJX0v4M?si
=UkiL0YCHu6yHqHiy
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Post-ChatGPT Era: Human-AI Collaboration in Writing
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Everyone needs to realize that there is no large corpus of writing in the post-ChatGPT world that is going to be entirely human. That doesn’t mean that the AI use is wrong, by the way. Many scientists hired editors to make their language clearer, we are seeing some of that here.