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GENERATIVE AI
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MIT LLM Screens 100 Million Drug Compounds Daily
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MIT researchers used a LLM for protein-drug interactions, making it possible to screen more than 100 million drug compounds in a single day — far more than previous models: https://
bit.ly/43YjGbO -
AI21 Labs Launches Human or Not Social Experiment
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AI21 Labs Releases "Human or Not?", A Social Experiment Inspired by the Turing Test https://
prn.to/3C2oK37
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Question Answering with Citations Using LangChain Functions
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Question Answering with citations Ahead of our webinar on Wednesday, more `functions` goodness from @jxnlco
: Answer a question (with citations) from a piece of context. Uses `functions` to specify the return schema of the answer + supporting facts https://
python.langchain.com/docs/modules/c
hains/additional/qa_citations
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Memory Types and Reflection for Improved Chatbot Performance
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The most interesting thing here IMO is the exploration of multiple different types of "memory" for creating chatbots
— Harrison Chase (@hwchase17) 19 juin 2023
Baseline would just be retrieval over the raw corpus, but by doing some reflection-like things as a preprocessing step, you can get better results https://t.co/XKeHg3Rgp0The most interesting thing here IMO is the exploration of multiple different types of "memory" for creating chatbots Baseline would just be retrieval over the raw corpus, but by doing some reflection-like things as a preprocessing step, you can get better results
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Webinar on Functions: Use Cases and Q&A Session
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To hear more about `functions`, join us (me, Atty, @fpingham
, and @jxnlco
) for an exciting webinar this Wednesday! We'll cover how to use it, what some common use cases are, and then answer any and all questions! -
Adding Function Chains: Extraction, Tagging, Question-Answering
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So that's the general formula for how we're adding `functions` chains So far we've added: – Extraction
– Tagging
– Question-Answering with citations We're EXTREMELY open to contributions here – with this formula should be a pretty easy addition -
LLM Configuration and Prompt Templates Setup Guide
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Breaking that down: llm: this is the language model, at the moment needs to be an @OpenAI Chat model prompt: this is the prompt template to use. Generally should be a list of message templates this is pretty standard, nothing new so far
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Force AI Function Output Format with function_call Parameter
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You can do this by not only passing in `functions` parameter, but also passing in the `function_call` parameter The `function_call` parameter forces it to respond using a particular function – allowing you to guarantee the output in a specific format
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Functions Structure ChatGPT Output for Better Agent Integration
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Although we first incorporated `functions` into agents, an almost more important ability of `functions` is to structure output from ChatGPT This is extremely useful when you want to use the output of ChatGPT in a particular way