Mixtral 8x22B is in the trainer! Thanks @winglian for the help 🙂
LLMS
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GPT-5 Agents Coming Sooner (12 words max)
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GPT-5 Agents are Coming Sooner Than You Think – OpenAI is already testing early versions of GPT-5 with enterprise clients – GPT-5 will have the ability to call AI agents to perform tasks autonomously – Agents give businesses an unfair advantage, as demonstrated by a study at
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Agents as First Step to System 2 Thinking in AI
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System 1 and System 2 Thinking in AI Agents – LLMs like ChatGPT are only capable of System 1 thinking (fast, impulsive, automatic decisions) – Agents are the first step towards giving AI the ability to form long-term plans and execute upon them (System 2 thinking)
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AI Agents: Autonomous Goal-Oriented Systems Powered by LLMs
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What are AI Agents? – AI agents are systems designed to make decisions and take actions towards a goal without needing step-by-step instructions – They are helpful assistants or employees powered by large language models – Agency is the ability to take action or do things,
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GPT-5’s reasoning and memory will accelerate AI agent development
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The GPT-5 Moment and Its Implications for AI Agents – GPT-5 will have better reasoning, long-term memory, multi-modality, and emerging properties – As soon as GPT-5 is released, agent builders will go nuts, and development speed will be impossible to keep up with – Proper
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AI Agents: The Next Big Thing Toward AGI
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Introduction to AI Agents – AI agents are the next big thing and will be how AGI is built – The agent revolution is near, and not many people understand this – The great unlock will be a combination of better LLMs, cheaper API costs, and simple, clean UI
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GPT-4 Turbo Latest Version Improves Code Generation Efficiency
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Side-by-side comparison between the latest version of gpt-4-turbo and the previous one, 0125-preview.
— Pietro Schirano (@skirano) 10 avril 2024
Not only is the new version less verbose and it goes directly into code, but it also (rightfully so) decides to add a flag to download the highest quality video.
Smart! 👨🏫 pic.twitter.com/eQdQ6Xg1sPSide-by-side comparison between the latest version of gpt-4-turbo and the previous one, 0125-preview. Not only is the new version less verbose and it goes directly into code, but it also (rightfully so) decides to add a flag to download the highest quality video. Smart!
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Weight-Only Quantization and Security Wrapper Integration for LLMs
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PenghuiCheng for integrating weight-only quantization to accelerate transformer-based models on @Intel platforms
https://
python.langchain.com/docs/integrati
ons/llms/weight_only_quantization/
… And JamsheedMistri for adding the [
@layerup_
](
https://
x.com/layerup_) security wrapper for LLMs
https://
python.langchain.com/docs/integrati
ons/llms/layerup_security/
… (5/n) -
LangChain Integrations: MLX, Solar Models and HTML Splitter
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@Prince_Canuma for adding an @Apple MLX model integration https://
python.langchain.com/docs/integrati
ons/chat/mlx/
… @m_setayesh for adding a new "section-aware" HTML text splitter https://
python.langchain.com/docs/modules/d
ata_connection/document_transformers/HTML_section_aware_splitter/
… Tokkiu for adding @upstageai Solar model and embeddings
https://
python.langchain.com/docs/integrati
ons/chat/solar/
… (3/n) -
LangChain Tools: Haskell Code Splitter and Financial Data Integration
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@nisargtrn for a text splitter specializing in Haskell code
https://
python.langchain.com/docs/modules/d
ata_connection/document_transformers/code_splitter/
… anshaneel for an @alpha_vantage
-powered financial data tool usable in agents
https://
python.langchain.com/docs/integrati
ons/tools/alpha_vantage/
… (4/n)