Fresh news from the paywall club: Insider leaks say Microsoft to integrate ChatGPT into all MS Office products (Word, Powerpoint, Excel, Outlook) in 2023. Microsoft's $1B investment in OpenAI gonna print.
LLMS
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LangChain Vector Database Question Answering Implementation
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any particular implementations you looking for? here's one for question answering over a vector database: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/vector_db_qa.html
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GPT-3 Enables Declarative Prolog-like Semantics for Programming Languages
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The most magical thing to me about programming languages in GPT-3 is that, if you set it up right, almost *any* language can be used with declarative, Prolog-like semantics:
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Microsoft AI Powers .com, Testing ChatGPT Version for Bing
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No, you .com is powered by a different AI operated by Microsoft I believe. But since Microsoft is working on a version of ChatGPT for Bing, I expect they’ll try to test it here
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Attribute Filtering in Text Generation AI Models
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#47 FILTRACIÓN Al igual que el agua que se cuela por las grietas de tu casa, con las IAs de generación por texto existe el concepto de FILTRADO DE ATRIBUTOS. Fíjate en la imagen anterior cómo a pesar de haberle pedirle un CACTUS AZUL, el color se ha filtrado hacia el zapato.
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OpenAI Developer Community Unlocks Real Opportunity Building Models
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Amazing to see the energy of the OpenAI developer community. These models are starting to unlock real opportunity to build on top of them, whether for side projects, new products, or integrations into established services.
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Customize Summarization and Question Answering with Custom Prompts
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Customize summarization and question answering The default prompts used for summarization and Question/Answering may not be specific enough for your use case Luckily, you can easily customize them! Here's an example asking them to respond in Italian
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LangChain Question Answering Examples and LLM Applications
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Check out example notebooks: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/question_answering.html
… Shout out to @johnjnay
, @BruceHammer
, and others in the discord for helping to ideate + test John's already started to use it in some more awesome work on llm-lobbyist: -
Recursive Text Splitter for Improved Chunk Processing
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Recursive Text Splitter The previous text splitter only split on a single character This one recursively splits chunks on different types of characters, until all chunks are below the desired size
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LangChain 0.0.59 Adds Map-Rerank Chain and Text Splitting
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New LangChain version makes it easier than ever to combine LLMs with your own data Brand new map-rerank chain
Recursive Text Splitter
Customize summarization and question answering `pip install langchain==0.0.59`