The Ultimate Guide To VLM Evaluation Metrics, Datasets, And Benchmarks Evaluating Vision-Language Models (VLMs) is more than just checking accuracy. How would you know if your model understands a scene or is just hallucinating?
Our new, comprehensive guide on LearnOpenCV
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VLM Evaluation: Metrics, Datasets, Benchmarks Guide
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Mito AI: Open-Source AI Agent for Jupyter Notebook Workflows
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AI agent that can create full notebook workflows inside Jupyter Notebooks!
— Sumanth (@Sumanth_077) 24 septembre 2025
Mito AI is an open-source toolkit that brings AI directly into your Jupyter Notebooks.
This is like Cursor for Data teams
100% Open Source pic.twitter.com/6tU0jCyQSNAI agent that can create full notebook workflows inside Jupyter Notebooks! Mito AI is an open-source toolkit that brings AI directly into your Jupyter Notebooks. This is like Cursor for Data teams 100% Open Source
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Mito AI: AI-Powered Data Analysis and Automation Tool
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Check out Mito AI here: https://
trymito.io Github Repo: -
Building and Pre-training Neural Network Architecture from Scratch
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We build the architecture from scratch and pre-train it on a small dataset. But we keep the pre-training short to keep it accessible. Then, we load pre-trained weights and further fine-tune it.
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Top Functions in 9 Popular Data Science Libraries
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Top Functions in 9 Popular Data Science Libraries NumPy → array(), mean(), reshape() Pandas → read_csv(), DataFrame(), groupby() Matplotlib → plot(), scatter(), hist() Seaborn → scatterplot(), heatmap(), boxplot() TensorFlow → Variable(), reshape(),
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Making AI Learning Accessible to Everyone at Summit
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learning this stuff, even if you're not a dev, is extremely useful and lots of fun i want this Summit to make this easier and more accessible to everyone
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PrimeIntellect and willccbb launch hands-on RL environments workshop
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> i want @PrimeIntellect and @willccbb running a hands-on RL environments workshop, with opensource models hosted directly on their infra there's so much possible this is what focusing on Local AI should look like
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Open-Source AI Tools: RunPod, OpenRouter, and Local Function Calling
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> i want @runpod
, @openrouter
, and many more to show how they've made it so easy to tinker with open-source AI > i want someone to break down the openai api > i want local function calling, live, with open models -
Aphrodite Engine, Inference & Quantization Talk Series
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> i want @AlpinDale to give a talk on Aphrodite Engine & Inference Engines
> and maybe another one on Samplers > i want @casper_hansen_ to break down quantization and how he built AWQ -
Dynamic Quantization and Fine-tuning Sessions with Unsloth and DSPy
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> i want @UnslothAI and @danielhanchen to do a full session on dynamic quant
> and a separate one on fine-tuning > i want @DSPyOSS and @lateinteraction to make the case for DSPy's adoption