LLMS

→ View original post on X — @kirkdborne

ChatGPT Writes Short Story Time is a Wasteland

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@kirkdborne

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04 May 2023 22h13

"Time is a Wasteland" — a short story written by #ChatGPT : https://
medium.com/@kirk.borne/ti
me-is-a-wasteland-a-short-story-written-by-chatgpt-fb01325dab8a
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#GenerativeAI #BigData #DataScience #AI #MachineLearning #DeepLearning #StableDiffusion #ConversationalAI #Chatbot #NLProc #NLU #NLG #NeuralNetworks #GPT3 #GPT4 #LLMs #LargeLanguageModels

→ View original post on X — @julien_c

Developer joins llama.cpp and Stability AI community

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@julien_c

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04 May 2023 21h50

yay happy to be with my llama.cpp and stability friends!!

Advanced AI Features Coming to JavaScript

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04 May 2023 20h52

Some really cool and advanced features making their way to JS! Constitutional AI Chain Time weighted retriever LLMChain Extractor (compresses documents post retrieval)

Router Chains: LLM Selection Methods and Agent Use Cases

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04 May 2023 20h49

Under the hood, these currently use LLMs to do the selection of the chain – but this can easily be swapped out with embedding similarity or any other method Can be viewed as a simple, one step agent that returns directly What are some other use cases for router chains?

Forking and Routing: Building Blocks for AI Chain Construction

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04 May 2023 20h49

Why add this? We view this as a basic building block for constructing chains Just as you could want to run a sequence of chains sequentially, there's also the basic building block of forking and routing to the correct chain What are some of the use cases?

RouterChain Dynamic Prompt Selection with LangChain

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04 May 2023 20h49

MultiPromptChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects the prompt to use for a given input Basically, route between prompts depending on user input! Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_prompt_router.html
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MultiRetrievalQAChain: Dynamic Retrieval System Routing

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04 May 2023 20h49

MultiRetrievalQAChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects which Retrieval system to use Can be used to route questions to the correct retriever (based on content or intent) Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_retrieval_qa_router.html
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