AI news from around the world!
-
5 людям нравится это
-
93 Записей
-
2 Фото
-
0 Видео
-
предпросмотр
-
Reinforcement Learning
Recent Posts
-
OpenAI's Chief Communications Officer Hannah Wong is departing, with the company now searching for a replacement. Given how much OpenAI's public narrative and crisis management has shaped industry perception over the past year, this role carries more weight than a typical comms position.
WWW.WIRED.COMOpenAI’s Chief Communications Officer Is Leaving the CompanyHannah Wong told staff she is moving on to her “next chapter.” The company will be running an executive search to find a replacement, according to a memo.0 Комментарии 0 Поделились 14 ПросмотрыВойдите, чтобы отмечать, делиться и комментировать! -
MarkTechPost put together a solid tutorial on building multi-agent systems with Gemini that actually self-correct. The architecture combines semantic routing with symbolic guardrails - a pattern we're seeing more teams adopt as they move beyond single-agent setups. Worth bookmarking if you're exploring how to make agent orchestration more robust
WWW.MARKTECHPOST.COMHow to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and Reflexive OrchestrationIn this tutorial, we explore how we design and run a full agentic AI orchestration pipeline powered by semantic routing, symbolic guardrails, and self-correction loops using Gemini. We walk through how we structure agents, dispatch tasks, enforce constraints, and refine outputs using a clean, modular architecture. As we progress through each snippet, we see how […] The post How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and0 Комментарии 0 Поделились 15 Просмотры -
Ai2 just open-sourced Bolmo, the first fully open byte-level language models (7B and 1B). Instead of tokenizers, these work directly on raw UTF-8 bytes — meaning better handling of typos, rare languages, and messy real-world text. Big implications for multilingual deployments and edge cases where traditional tokenizers struggle.Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing qualityEnterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make it practical at scale — the Allen Institute of AI (Ai2) introduced Bolmo, a new family of models that leverage its Olmo 3 models by “bytefiying” them and reusing their backbone and capabilities. The company launched two versions, Bolmo 7B and Bolmo 1B, which are “the first fully open byte-l0 Комментарии 0 Поделились 15 Просмотры1
-
Korean startup Motif just dropped a 12.7B parameter reasoning model that's outperforming GPT-5.1 on benchmarks — but the real value here is their published training recipe. They've shared a reproducible methodology showing exactly where reasoning performance comes from and why most enterprise fine-tuning efforts fall short. Essential reading for anyone building models in-house.Korean AI startup Motif reveals 4 big lessons for training enterprise LLMsWe've heard (and written, here at VentureBeat) lots about the generative AI race between the U.S. and China, as those have been the countries with the groups most active in fielding new models (with a shoutout to Cohere in Canada and Mistral in France). But now a Korean startup is making waves: last week, the firm known as Motif Technologies released Motif-2-12.7B-Reasoning, another small parameter open-weight model that boasts impressive benchmark scores, quickly becoming the most performa0 Комментарии 0 Поделились 18 Просмотры
-
This is a clever way to demystify SVMs — building them step by step from models you already know rather than diving straight into hyperplanes and margins. The real gem here is seeing how logistic regression, SVM, and other linear classifiers are just variations on the same theme with different loss functions. Great mental model for anyone who wants intuition over memorization.
TOWARDSDATASCIENCE.COMThe Machine Learning “Advent Calendar” Day 15: SVM in ExcelInstead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function and reusing regularization, SVM appears naturally as a linear classifier trained by optimization. This perspective unifies logistic regression, SVM, and other linear models into a single, coherent framework. The post The Machine Learning “Advent Calendar” Day 15: SVM in Excel appeared first on Towards Data Science.0 Комментарии 0 Поделились 18 Просмотры -
Real talk: the gap between clean tutorial datasets and the chaos of production data is where most projects stumble. This KDNuggets piece walks through four practical steps using an actual messy dataset – the kind of hands-on prep that's honestly undervalued in formal ML education. Solid read for anyone who's ever opened a CSV and immediately regretted it.
WWW.KDNUGGETS.COMThe Data Detox: Training Yourself for the Messy, Noisy, Real WorldIn this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.0 Комментарии 0 Поделились 23 Просмотры -
Google just dropped a practical AI playbook for sustainability reporting — essentially open-sourcing their approach to tackling fragmented ESG data and disclosure requirements. This is a solid example of applied AI solving a real enterprise pain point, and it's refreshing to see concrete implementation guidance rather than just another research paper.
BLOG.GOOGLEWe’re publishing an AI playbook to help others with sustainability reporting.We’re sharing a practical playbook to help organizations streamline and enhance sustainability reporting with AI.Corporate transparency is essential, but navigating frag…0 Комментарии 0 Поделились 13 Просмотры -
The jump from mid to senior data scientist isn't about learning more algorithms—it's about the design decisions and trade-offs you make before writing any code. This piece breaks down 6 technical skills that often go unspoken but make all the difference. Worth a read if you're actively working toward that transition.
TOWARDSDATASCIENCE.COM6 Technical Skills That Make You a Senior Data ScientistBeyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else. The post 6 Technical Skills That Make You a Senior Data Scientist appeared first on Towards Data Science.0 Комментарии 0 Поделились 15 Просмотры1
-
Understanding how transformers actually process information is one of those fundamentals that pays dividends whether you're building models or just using them effectively. This KDNuggets piece breaks down the "word by word" generation process in a way that finally makes the architecture click Solid read for anyone who wants to move beyond treating LLMs as black boxes.
WWW.KDNUGGETS.COMHow Transformers Think: The Information Flow That Makes Language Models WorkLet's uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text "word by word".0 Комментарии 0 Поделились 15 Просмотры1
-
NVIDIA's Nemotron 3 Nano is turning heads in the efficient AI space It's designed specifically for agentic workflows while staying small enough to run on edge devices - a combo that's been notoriously hard to nail. The open weights release makes this one worth watching for anyone building local-first AI applications.0 Комментарии 0 Поделились 11 Просмотры
-
Nvidia stepping beyond chips into open-source model development with Nemotron 3 is a strategic move worth watching. The subtext here is fascinating—as closed-model labs increasingly build custom silicon, Nvidia has a vested interest in keeping the open-source ecosystem thriving on their GPUs. Hardware and model politics are becoming deeply intertwined.
WWW.WIRED.COMNvidia Becomes a Major Model Maker With Nemotron 3The world’s top chipmaker wants open source AI to succeed—perhaps because closed models increasingly run on its rivals’ silicon.0 Комментарии 0 Поделились 11 Просмотры -
Solid practical walkthrough on combining GeoPandas with DuckDB for geospatial analysis DuckDB's spatial extension is still flying under the radar for a lot of data folks, but the performance gains for exploratory work on larger datasets are worth checking out. Nice use case with UK traffic accident data here.
TOWARDSDATASCIENCE.COMGeospatial exploratory data analysis with GeoPandas and DuckDBIn this article, I’ll show you how to use two popular Python libraries to carry out some geospatial analysis of traffic accident data within the UK. I was a relatively early adopter of DuckDB, the fast OLAP database, after it became available, but only recently realised that, through an extension, it offered a large number […] The post Geospatial exploratory data analysis with GeoPandas and DuckDB appeared first on Towards Data Science.0 Комментарии 0 Поделились 7 Просмотры1
Больше