Gemma is a new language model just announced by @GoogleDeepMind
. Run it with an API:
OPEN SOURCE
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Google DeepMind Announces Gemma Language Model with API Access
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Fine-tune Google’s Gemma7B efficiently with Ludwig AI
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Off the shelf is good, fine-tuned is better. Here's everything you need to #efficiently fine-tune @Google
's #Gemma7B for your task. Best of all, you can do it with @ludwig_ai
, the open-source declarative framework for building custom #LLMs. -
Ludwig v0.10.0 Released with Gemma, U-Net and Phi2 Support
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Announcing #Ludwig v0.10.0: Support for @Google
's #Gemma 2B / 7B Added U-Net encoder-decoder and image output feature Added #Phi2 to model presets Support for prompt lookup decoding during generation Multiple bug fixes Full release notes: https://
pbase.ai/49JwFkO -
LangSmith GA: LangGraph Examples and RAG Resources
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LangChain Release Notes, week of 2/19 LangSmith Generally Available!!
Lots of cool advanced LangGraph examples
Some great retrieval and RAG resources
Awesome community created content Read all here: https://
blog.langchain.dev/week-of-2-19-l
angchain-release-notes/
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Google Launches Gemma 7b Lightweight Model on Poe
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Now on Poe: Gemma 7b-FW! Google's new lightweight model is built from the same research and technology as the Gemini models, and outperforms similar sized open models in general language understanding, reasoning, math, and coding, according to their internal evaluations. (1/2)
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LangGraph LATS Implementation Code and Video Tutorial Released
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2/ Links For those who are eager, you can check out the code and video tutorial at the links below: Youtube: https://
youtube.com/watch?t=625
Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/lats/lats.ipynb
… Thanks to @hinthornw for the implementation. -
Google’s AI Launches Overshadowed by OpenAI Competition
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Google's been having a rough month. Last week’s Gemini 1.5 breakthrough? Overshadowed by OpenAI’s Sora. And now, their release of Gemma, a new open-source family of AI models, was dwarfed by the backlash. Tough for Google's PR/marketing team.
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Mistral and MLX for Local AI Model Deployment
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Either that or just mistral. Locally using MLX, I already did a few!
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LangSmith Tracing and Evaluation Tools Now Available for TypeScript
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LangSmith Tracing and Evaluation in TypeScript It's now easier than ever to trace non-LangChain TS code and run evaluations in LangSmith! We've added a cookbook here: https://
github.com/langchain-ai/l
angsmith-cookbook/blob/main/typescript-testing-examples/traceable-example/LangSmith_TS_Demo-Traceable.ipynb
… For tracing, we've added – wrapOpenAI(new OpenAI()) allows you to call @OpenAI -
Natural Language to SQL with Local LLM Models
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natural language -> sql, visualizations, analytics impressive stuff. uses a local LLM