I think you're all too hard on Google. This model is really solid.
LLMS
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LangSmith Improves Data Filtering for LLM Pipeline Analysis
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Better Filtering Experience in LangSmith If you’re logging a good portion of your production traces to LangSmith, you probably have a lot of data to sift through. Filtering through data in a systematic way is important for understanding how your LLM pipeline is
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Finetuning LLM on personal tweets for custom model
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Right? Doing this to finetune an LLM on my tweets btw
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Updates on GPTs builder visibility and review comment roadmap
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– OpenAI also shared that you will be able to see other GPTs from the same builder somewhere but it doesn't seem to be the case atm – One extra point: Review comments are not planned to be developed now but may come in the long term.
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LLM Limitations Risk Deepening Legal Inequalities
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Current limitations of LLMs pose a risk of further deepening existing legal inequalities rather than alleviating them.
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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 -
Converting Video Lectures into Written Content Using LLMs
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Fun LLM challenge that I'm thinking about: take my 2h13m tokenizer video and translate the video into the format of a book chapter (or a blog post) on tokenization. Something like: 1. Whisper the video
2. Chop up into segments of aligned images and text
3. Prompt engineer an LLM -
Natural Language to SQL with Local LLM Models
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natural language -> sql, visualizations, analytics impressive stuff. uses a local LLM
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FireFunction V1: Open-Weights Function Calling Model from Fireworks
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FireFunction V1 – a new, open-weights function calling model from @FireworksAI_HQ Returning structured outputs is (a) hard, (b) incredibly useful Excited to highlight **4** different ways to use this model with LangChain #1: Function Calling with LangChain JS Cookbook:
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AI Boom Year: March 2025 Major Model Releases Retrospective
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Wasn't it March of last year that everything went really nutty in the AI space? GPT-4, MidJourney 4, Copilot, Bard, etc… Pretty sure that was all around this time last year… Just sayin'.