Added some variants that work for other models Llama: https://
smith.langchain.com/hub/hwchase17/
matt-shumer-validate-business-idea-llama
… Google Palm: https://
smith.langchain.com/hub/hwchase17/
matt-shumer-validate-business-idea-google-palm
…
CODE
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LLM Prompt Variants for Business Idea Validation
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AI System Producing Random Outputs – Team Investigation
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Thanks for flagging, will let the team know. It is indeed making up random outputs, I can see why that would be confusing. I’ll check on how hard to change that it would be.
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Visual Programming Tools for AI Agents Explained
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Very cool visual programming for agents https://t.co/U2wJ2Uxsc4
— Harrison Chase (@hwchase17) 8 septembre 2023Very cool visual programming for agents
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LangChain Hub New Functionality Features Overview
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A great blog by @CobusGreylingZA on all the functionality the new langchain hub offers!
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Addis Coder Alumnus Henok at Indaba23 Tech Event
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Lovely evening at #Indaba23. Henok here is an @AddisCoder alum. https://
x.com/henokademtew/s
/henokademtew/status/1699219503807135870
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Adding Human Readable Names to LangChain Components
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If you have long chains written with LangChain Expression Language, it can be really helpful to add human readable names to each component We've now got a cookbook for that!
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T-Few Fine-tuning: Cohere’s Custom Model Training Approach
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At Cohere, we implement the T-Few technique (Liu et al., 2022) for training and serving custom models. In this blog post, we delve into the concept of T-Few finetuning, explore its benefits, and explain our implementation workflow.
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Find Your Passion in the Engineering Development Group
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Find your passion in the Engineering Development Group
