LLMS

→ View original post on X — @dair_ai

Prompt Engineering Guide Trends on Hacker News

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@dair_ai

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21 February 2023 18h46

Prompt Engineering Guide (3.5K) Our prompt engineering guide is trending on Hacker News! Thanks for all the support. Do check it out if you want to learn more about how to make the best use of LLMs. https://
github.com/dair-ai/Prompt
-Engineering-Guide
…

→ View original post on X — @_jasonwei

Emergence in Language Models: Capabilities and Heuristics

By

@_jasonwei

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21 February 2023 17h30

New piece on emergence in language models by @JacobSteinhardt: https://bounded-regret.ghost.io/emergent-deception-optimization/#fnref7 I found the takeaways quite lucid:
– Capabilities that would lower training loss will emerge in the future
– As models scale up, simple heuristics tend to get replaced by complex ones

→ View original post on X — @cohere

Retrieval-Augmented Language Models Discussion with MLStreetTalk

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@cohere

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21 February 2023 17h00

Tune in to an electrifying discussion on retrieval-augmented language models with @MLStreetTalk
, @PSH_Lewis
, and the adorable Cohere mascot, Mable! :

Building Chatbot Applications with LangChain AI Framework

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21 February 2023 15h24

Chatbot is one such example of Lang Chain AI and the applications are endless. For a detailed explanation and to build more such applications with Langchain, check out the source code and docs Source Code – http://
github.com/steamship-core
/steamship-langchain/tree/main/examples/chatbot
… Docs: https://
steamship.com/build/langchai
n-apps
…

Daily Python Machine Learning and Language Models Tutorials

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21 February 2023 15h24

Every day, I share tutorials and simplify complex topics around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.

Flask endpoints for chatbot customization and message handling

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21 February 2023 15h24

Add Flask-style endpoints and customize the bot by defining the chain. Below you can see two endpoints 1. To generate a Response for a Text – "send_message" 2. To give the full chat history – "transcript" Similarly add endpoints for your usecases. Server-side code:

Steamship Hosting with LangChain Integration for Chatbots

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21 February 2023 15h24

Steamship to host the APP the best part is it comes with an integration to langchain that makes it super easy to build and host the chatbot directly. To make it simple and easy to understand, Let's break the code into two Python scripts: Let's look at how we can implement it

Building a ChatGPT-like Chatbot with Langchain and Steamship

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21 February 2023 15h24

The goal is to build a simple chatbot like ChatGPT which can answer to specific questions Tech stack required 1. Langchain AI: Python package that provides a lots of integrations with tools like Open AI, HF and also end-to-end chains for diff applications 2. Steamship