@towards_AI
's new AI tutor offers expert answers, simplifying the learning of AI coding and avoiding outdated docs and confusing forums (vs. using ChatGPT). How? A combination of RAG & lots of small process improvements…
LLMS
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New AI Tutor Combines RAG Technology for Better Coding Learning
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OpenRouter Integration Option Under Consideration
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not yet. thinking about openrouter, or at least an option for it
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OpenHermes 2.5 Integration in Decentralized AI Platform
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Hopping on a call and going on a walk with with OpenHermes 2.5 by @Teknium1
— Aaron Ng (@localghost) 26 novembre 2023
The energy around decentralized AI is exciting. Adding more open source language models to @apolloaiapp and figuring out a path to release soon. pic.twitter.com/nnnezJVtB4Hopping on a call and going on a walk with with OpenHermes 2.5 by @teknium The energy around decentralized AI is exciting. Adding more open source language models to @apolloaiapp and figuring out a path to release soon.
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Reasoning Planning Auto-Regressive LLMs World Models
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Popping this up: a response to a question about what I consider reasoning & planning, why current Auto-Regressive LLMs can't do it, why that would require AI systems with world models, and why we still have a lot of progress to do towards AI systems that can learn and reason.
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LLMs Limited Computation Per Token System One
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Yes, I do.
LLMs produce their answers with a fixed amount of computation per token.
There is no way for them to devote more (potentially unlimited) time and effort to solving difficult problems. This is very much akin to the human fast and subconscious "System 1" decision -
Nomic AI’s latest developments in open source language models
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literally @nomic_ai (cc @andriy_mulyar
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TÜLU 2: Improved Language Models for Downstream Task Adaptation
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10/ TÜLU 2 – presents a suite of improved TÜLU models for advancing the understanding and best practices of adapting pretrained language models to downstream tasks and user preferences.
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GAIA: Benchmark for General AI Assistants Capabilities
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8/ GAIA – a benchmark for general AI assistants consisting of real-world questions that require a set of fundamental abilities such as reasoning, multimodal handling, web browsing, and generally tool-use proficiency.
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LLMs as Collaborative Agents for Medical Reasoning
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9/ LLMs as Collaborators for Medical Reasoning – proposes a collaborative multi-round framework for the medical domain that leverages role-playing LLM-based agents to enhance LLM proficiency and reasoning capabilities.
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Chain-of-Thought Reasoning and Language Agents Guide
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7/ The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents – summary of CoT reasoning, foundational mechanics underpinning CoT techniques, and their application to language agent frameworks.