// radar de ia

Dados & Embeddings

Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.

todas LLMs & Texto Geração de Imagem Visão Computacional Áudio & Voz Multimodal Dados & Embeddings Robótica & RL
Blog Dados & Embeddings

End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment

In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We begin by configuring the runtime, installing the required dependencies, detecting available hardware, and generating a realistic multi-store retail dataset with trend, seasonality, pricing, promotions, holidays, temperature effects, and random variation. We then load and compile the TimesFM 2.5 model, examine […] The post End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anom...

02.08.2026
Blog LLMs & Texto

Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking

Discover how to optimize transformer workloads using the NVIDIA Transformer Engine. This tutorial guides you through configuring fused GPU kernels, implementing FP8 delayed scaling, and benchmarking model performance. Learn to build and train efficient GPT-style causal language models in PyTorch with practical code examples and performance analysis. The post Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking appeared first on MarkTech...

01.08.2026
Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks
Blog LLMs & Texto

Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks

Supabase has open sourced supabase/evals, an Apache-2.0 benchmark and framework that runs coding agents including Claude Code, Codex and OpenCode against real Supabase tasks — building schemas, debugging Edge Functions, fixing RLS policies — inside containerized stacks, then scores them with deterministic checks and LLM-as-a-judge. The post Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks appeared first on MarkTechPost .

01.08.2026
Blog LLMs & Texto

DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains

DeepSeek published DeepSeek-V4-Flash-0731 on Hugging Face and moved the official V4-Flash API into public beta on July 31, 2026. The model card is explicit that this is the official release superseding the preview, and that the architecture and size are unchanged. The gains come from re-post-training, not a new design. The checkpoint ships with the […] The post DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains appeared first on MarkTechPost .

31.07.2026
Blog Dados & Embeddings

LingBot-Map Tutorial: GPU-Aware Inference and Point Cloud Export

Discover how to implement a streaming 3D reconstruction pipeline using LingBot-Map. From GPU-aware configuration and preprocessing to GCTStream model inference and point cloud generation, this guide walks you through the steps to convert image or video sequences into consistent 3D scenes with exportable PLY and NPZ artifacts. The post LingBot-Map Tutorial: GPU-Aware Inference and Point Cloud Export appeared first on MarkTechPost .

31.07.2026
OpenAI aligns safety practices with EU AI Act’s GPAI Code
Blog Dados & Embeddings

OpenAI aligns safety practices with EU AI Act’s GPAI Code

OpenAI has outlined how it aligns safety, security, and transparency work with the EU AI Act’s GPAI Code as enforcement approaches. The company has contributed to and endorsed the EU’s General-Purpose AI (GPAI) Code of Practice and the Code of Practice on Transparency of AI-Generated Content. Both emerged from multi-stakeholder processes. The GPAI Code sets […] The post OpenAI aligns safety practices with EU AI Act’s GPAI Code appeared first on AI News .

31.07.2026
Aschenbrenner's AI thesis could be correct, his timing and leverage were not
Blog Dados & Embeddings

Aschenbrenner's AI thesis could be correct, his timing and leverage were not

Leopold Aschenbrenner's AI hedge fund Situational Awareness had to unload nearly its entire publicly traded portfolio to Ken Griffin's Citadel after racking up heavy losses on leveraged AI stock positions. Just days earlier, Aschenbrenner had reported a six-month return of 439 percent and pulled in fresh capital. Then margin calls forced the fire sale. The article Aschenbrenner's AI thesis could be correct, his timing and leverage were not appeared first on The Decoder .

31.07.2026
← anterior 5 / 94 próxima →
1124 itens no radar