Timecodes now available in our Whisper transcription API:
CODE
-
LangChain Updates: LangSmith Monitoring, RAG Improvements
By
–
LangChain Release Notes Week of 2/5 LangSmith: better monitoring, cost visibility, regression testing, and feedback rubrics for annotation queues A deep dive into OpenGPTs Cookbooks for better RAGs & a new YouTube series around RAG: RAG from Scratch!
-
Cohere releases Go SDK with Fern for better documentation
By
–
We’re excited to work with @buildwithfern to produce an always-up-to-date, well-documented Go SDK. Stay tuned for more language support in the coming weeks. https://
github.com/cohere-ai/cohe
re-go
…. -
Cohere Officially Launches Go Language Support
By
–
Cohere now officially supports Go: https://t.co/0Bi5W24T2R! Here’s a short video to help you get started: pic.twitter.com/YlsblMPLS4
— Cohere (@cohere) 9 février 2024Cohere now officially supports Go: https://
github.com/cohere-ai/cohe
re-go
…! Here’s a short video to help you get started: -
Fine-tuning Code Llama 70B for Specific Coding Tasks
By
–
#CodeLlama-70B is the latest and greatest in open-source #codegen models. But, what if you want to #finetune it for a specific coding task? To help you get started, here's a step-by-step #tutorial w/ sample data and #code. Happy fine-tuning!
-
Build Gemini-Powered Search Agents with LangChain
By
–
Gemini + Google Search Agent Curious what you can build yourself in the @Google Gemini era? Spend a few minutes with LangChain founding engineer @eyfriis and quickly get up and running with a Gemini-powered agent that has access to Google Search to retrieve information!
-
Coding Skills in the Age of Generative AI
By
–
Coding & programming skills in an age of GenAI | Digital Skills & Jobs Platform https://
europa.eu/!8nf6Xx
#code #100daysofcoding #GenerativeAI #innovation #technology #digitaleu @DigitalEU @ArturHabant @elaniaz @stratorob @mvollmer1 @PawlowskiMario @JolaBurnett @SpirosMargaris -
Daily Python, Data Science and Machine Learning Tutorials
By
–
That's a wrap! Every day, I share tutorials around Python, Data Science & Machine Learning. You can follow me → @Sumanth_077 Like/RT the first tweet to help this reach more people!
-
XLA and Automatic Parallelization in JAX for Computation Speed
By
–
XLA & Automatic Parallelization It also supports XLA or Accelerated Linear Algebra, which is an optimizing compiler, designed specifically to increase the computation speed. And also supports Parallelization and can be done using "pmap()" https://
jax.readthedocs.io/en/latest/note
books/quickstart.html
…
