Right? Doing this to finetune an LLM on my tweets btw
CODE
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Manual transcription of video to markdown taking considerable time
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Ok I wrote the following example of what I am imagining: https://
github.com/karpathy/minbp
e/blob/master/lecture.md
… This is me doing this task manually, of watching the video and translating it to a markdown post. I only made it to the ~4min mark in the video (i.e. 3% done) and this already took about 30 minutes -
Defining Computing Systems Through Finite State Automata Formalism
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The terms are semantically loaded and seem to ambiguous to easily define them via first principles. “Class of systems that can be described via finite state automata” seems more elegant
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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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AstraDB Vector Database Integration with LangChain
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@AstraDB Cassandra-based Vector DB Explore the langchain-astradb integration package! Harness the serverless, vector-capable database built on Apache Cassandra for scalable NoSQL solutions enhanced with the power of vector similarity search. https://
python.langchain.com/docs/integrati
ons/vectorstores/astradb
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Implementing Reflexion for Your App in LangGraph
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1/ See how to implement Reflexion for your app in LangGraph at the links below: Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/reflexion/reflexion.ipynb
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Youtube: https://
youtube.com/watch?v=v5ymBT
XNqtk&t=299s
… H/T @WHinthorn -
Sequence Text Embeddings vs Word Embeddings Explained
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i'm talking about sequence text embeddings not word embeddings