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Lorenzo Toscano Profile
Lorenzo Toscano

@BEmatic

Followers
335
Following
525
Media
47
Statuses
584

AI Pioneer | Entrepreneur | Author | Head of LLM CoE | 30+ yrs in code & innovation | Independent Thinker #GenerativeAI ๐Ÿค– #AgenticAI โšก #LLM ๐Ÿ“š #Ethics

Milano, Lombardia
Joined August 2016
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@BEmatic
Lorenzo Toscano
2 months
@icookandcode Itโ€™s a simple and inspiring question. Allow me to digress a littleโ€”I hope youโ€™ll find it interesting. Programming isn't about the clockโ€”it's an art form. And I'm not talking about mechanical, line-by-line coding, but that mindful programming where it's just you, your ideas, and
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@openEuler
openEuler
12 days
The new ๐จ๐ฉ๐ž๐ง๐„๐ฎ๐ฅ๐ž๐ซ ๐Ž๐’ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐–๐ก๐ข๐ญ๐ž๐ฉ๐š๐ฉ๐ž๐ซ is out! Explore how openEuler powers reliable, secure, intelligent computing across cloud, edge, and AI. Hands-on deep dives continue at openEuler Summit 2025. See you there~๐Ÿฅณ
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@thechrisperry
Chris Perry
5 days
I'm super excited to announce the Colab VS Code extension. @code is an amazing product, made even more amazing by powerful GPU and TPU runtimes offered by @GoogleColab
@googledevs
Google for Developers
5 days
Google Colab is officially coming to @code! โšก๏ธ You can now connect VS Code notebooks directly to @GoogleColab runtimes. Get the best of both worlds: the editor you love, powered by the compute (GPUs/TPUs) you need. โ†’ https://t.co/prgImNfEd2
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@rohanpaul_ai
Rohan Paul
10 days
๐Ÿงฎ Google just published DS-STAR A data science agent that can automate a range of tasks โ€” from statistical analysis to visualization and data wrangling. Reads messy files, plans steps, writes and runs code, and verifies itself, reaching state of the art on tough multi file
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@unwind_ai_
Unwind AI
11 days
Spec-driven development tool for AI coding agents. Forces humans and AI to agree on specs before writing code. Separates current truth from proposed changes. Native slash command for Claude Code, Cursor, Codex, and more. 100% open-source.
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@GitHubCommunity
GitHub Community
10 days
Open Source Friday with Ladybird
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@Saboo_Shubham_
Shubham Saboo
11 days
Gemini API now has an in-built fully managed RAG solution. File Search Tool lets you ground LLMs with your data without managing storage, chunking or embeddings. Plus, storage and query-time embeddings are completely free.
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@akshay_pachaar
Akshay ๐Ÿš€
11 days
Multi-head attention in LLMs, visually explained:
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@victormustar
Victor M
14 days
New Llama.cpp UI is a blessing for the local AI world ๐ŸŒŽ - Blazing fast, beautiful, and private (ofc) - Use 150,000+ GGUF models in a super slick UI - Drop in PDFs, images, or text documents - Branch and edit conversations anytime - Parallel chats and image processing - Math and
@ggerganov
Georgi Gerganov
14 days
A detailed look into the new WebUI of llama.cpp
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@boristane
boris tane
13 days
anthropic just published a blog highlighting a pattern I've been using for weeks: a search tools tool instead of loading all tools into the context window of the model, I load a "search tools" tool the model can use to browse a catalog of tools just-in-time tool discovery
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@hwchase17
Harrison Chase
18 days
๐Ÿ’ปDeep Agents CLI Using the deepagents package, we built a simple coding CLI as an example of a coding application you could build on top of deepagents We added in a concept of memory so that it would remember instructions and guidance over time Blog: https://t.co/aX2jRKwuh8
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@akshay_pachaar
Akshay ๐Ÿš€
18 days
Microsoft did it again! Building with AI agents almost never works on the first try. You spend days tweaking prompts, adding examples, hoping it gets better. Nothing systematic, just guesswork. This is exactly what Microsoft's Agent Lightning solves. It's an open-source
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@BEmatic
Lorenzo Toscano
21 days
Discover Artificial Analysis! The ultimate site for independently comparing AI models: benchmarks on quality, price, speed, latency, and more. Leaderboards for LLMs, images, video, and open source. Pick the best without bias! ๐Ÿš€ Visit: https://t.co/RNr5icTrf5 #AI #MachineLearning
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@Saboo_Shubham_
Shubham Saboo
25 days
Stanford researchers just solved why AI agents keep failing. They watched 500+ agent failures across three benchmarks. Found a pattern nobody expected: Early mistakes don't just cause problems - they cascade into complete system meltdowns. It's called error propagation. One
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@_avichawla
Avi Chawla
28 days
Finally, someone fixed LLM hallucinations! Parlant lets you build Agents that do not hallucinate and actually follow instructions. One of the things that makes this possible is the new reasoning approach that the open-source Parlant framework uses. Detailed explainer below:
@_avichawla
Avi Chawla
29 days
Finally, researchers have open-sourced a new reasoning approach that actually prevents hallucinations in LLMs. It beats popular techniques like Chain-of-Thought and has a SOTA success rate of 90.2%. Here's the core problem with current techniques that this new approach solves:
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@RayFernando1337
Ray Fernando
29 days
This is the JPEG moment for AI. Optical compression doesn't just make context cheaper. It makes AI memory architectures viable. Training data bottlenecks? Solved. - 200k pages/day on ONE GPU - 33M pages/day on 20 nodes - Every multimodal model is data-constrained. Not anymore.
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@iannuttall
Ian Nuttall
1 month
This tool lets you scrape any documentation page and converts it into a Claude skill you can add to web, app, and Claude Code (Somebody should make a hosted version of this!) Lets see how links in the main post go on the new Xโ€ฆ https://t.co/zaT2g5j5qE
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