Introducing Agents API: your go-to tool for building tailored agents to solve complex real-world problems! https://
mistral.ai/news/agents-api
CODE
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Mistral Introduces Agents API for Complex Problem-Solving
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Handling Missing Values in Data Science and Machine Learning
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After some time off, I am back at XGBlogging. In today's and the next two posts I'll be dealing with the topic of missing values in data science and machine learning. Link to the blog post in the first comment.
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Python Open Source Community Reaches the Colosseum
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I made it to the Colosseum. Python, open source, and @apify
! Thank you all! 🙂 See you at @pyconit
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AI-Researcher: Autonomous Scientific Innovation System
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AI-Researcher: Autonomous Scientific Innovation
Paper: https://
arxiv.org/pdf/2505.18705
.pdf
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Code: https://
github.com/HKUDS/AI-Resea
rcher
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Win ImageNette leaderboard: practical hyperparameter training optimization
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Nah just filling in a bunch of hyperparam results isn't interesting — you need to actually try to win! I mean try to get onto this leaderboard (doesn't matter if you make it or not, but you'll see what actually leads to fast accurate training): https://
github.com/fastai/imagene
tte?tab=readme-ov-file#imagenette-leaderboard
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Imagenette Speed-Running: Building Intuition in ML Optimization
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You should maybe try doing some imagenette speed-running — it's a good way to get an intuitive understanding of these issues.
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Batch Size Impact on Model Training Updates and Results
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We covered this in some of our earlier courses – lower batch sizes provide more updates, which should give better results for a fixed # epochs.
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Drupal Fireside Chat at MidCamp Open Source Conference
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Curious about @Dries
' fireside chat at @MidCamp last week? Check it out here –> https://
bit.ly/3ZvixZu #midcamp #midwestcamp #drupal #opensource #foss -
Alpha-Factory v1: Meta-Agentic AGI Framework Launch
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[ Alpha‑Factory v1 — META-AGENTIC α‑AGI ] Mission End‑to‑end: Identify → Out‑Learn → Out‑Think → Out‑Design → Out‑Strategise → Out‑Execute GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
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Deterministic Algorithms for LLM Sampling Beyond Stochasticity
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The LLM parrots need not be stochastic. Long weekend thought motivated by a posting by @balazskegl : A few years ago @yutianc and @wellingmax introduced me to herding. It is a dynamical systems (deterministic) algorithm for producing samples for a multinomial discrete