Author: Ricardo

Agentic AI Artificial Intelligence

A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
ByRicardo May 2, 2026

In this tutorial, we discover the lambda/hermes-agent-reasoning-traces dataset to perceive how agent-based fashions assume, use instruments, and generate responses throughout multi-turn conversations. We begin by loading and inspecting the dataset, inspecting its construction, classes, and conversational format to get a transparent thought of the obtainable data. We then construct easy parsers to extract key parts…

Read More A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
AI Infrastructure AI Paper Summary

A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
ByRicardo May 2, 2026

If you might have been operating reinforcement studying (RL) post-training on a language mannequin for math reasoning, code technology, or any verifiable activity, you might have virtually definitely stared at a progress bar whereas your GPU cluster burns by means of rollout technology. A team of researchers from NVIDIA proposes a precise fix by integrating…

Read More A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
Artificial Intelligence deep-learning

A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
ByRicardo May 2, 2026

In this tutorial, we discover how we are able to decode linguistic options straight from mind indicators utilizing a contemporary neuroAI pipeline. We work with MEG information and construct an end-to-end system that transforms uncooked neural exercise into significant predictions, on this case, estimating phrase size from mind responses. We arrange the atmosphere, load and…

Read More A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
Agentic AI AI Shorts

Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation
ByRicardo May 2, 2026

The bottleneck in constructing higher AI fashions has by no means been compute alone — it has all the time been information high quality. Meta AI’s RAM (Reasoning, Alignment, and Memory) staff is now addressing that bottleneck straight. Meta researchers have launched Autodata, a framework that deploys AI brokers within the position of an autonomous…

Read More Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation
AI Infrastructure Artificial Intelligence

A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning
ByRicardo May 2, 2026

In this tutorial, we stroll by way of an entire, hands-on journey of post-training massive language fashions utilizing the highly effective TRL (Transformer Reinforcement Learning) library ecosystem. We begin from a light-weight base mannequin and progressively apply 4 key methods: Supervised Fine-Tuning (SFT), Reward Modeling (RM), Direct Preference Optimization (DPO), and Group Relative Policy Optimization…

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Agentic AI AI Infrastructure

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
ByRicardo May 2, 2026

Large language fashions are remarkably succesful, but frustratingly opaque. When a mannequin misbehaves — producing responses within the mistaken language, repeating itself endlessly, or refusing protected requests — AI devs have only a few instruments to diagnose why it occurred on the stage of inside computations. That’s the issue Qwen-Scope is constructed to unravel. Qwen…

Read More Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
Data Mining & Modeling General Science

Catalyzing scientific impact through global partnerships and open resources
ByRicardo May 1, 2026

Data Mining & Modeling

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AI in Industry Events

What’s shaping frontier AI in 2026? Find out in London, May 21st
ByRicardo May 1, 2026May 1, 2026

Who’s prepared for a special type of AI occasion? Most AI conferences comply with the identical system: keynotes that recap final month’s bulletins, panels that relitigate acquainted debates, and networking optimised for enterprise playing cards quite than actual conversations… we have all been to no less than three! The Innodata GenAI Summit is constructed round…

Read More What’s shaping frontier AI in 2026? Find out in London, May 21st
AI and Us AI Business Strategy

SAP: How enterprise AI governance secures profit margins
ByRicardo May 1, 2026

According to SAP, enterprise AI governance secures profit margins by changing statistical guesses with deterministic management. Ask a consumer-grade mannequin to rely the phrases in a doc, and it’ll usually miss the mark by ten %. Manos Raptopoulos, Global President of Customer Success Europe, APAC, Middle East & Africa at SAP, observes that the operational…

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AI Market Trends automation

Per-token AI charges come to GitHub Copilot
ByRicardo May 1, 2026May 1, 2026

As of 1st June 2026, GitHub Copilot will cost its customers on the premise of the tokens they use, relatively than a flat price subscription mannequin. The mannequin that’s seeing the shutters closed on it’s, or relatively was, easy to perceive and use. Users got a set variety of ‘Premium Requests’ in accordance to their…

Read More Per-token AI charges come to GitHub Copilot

Author: Ricardo

A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset

A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B

A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features

Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation

A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools

Catalyzing scientific impact through global partnerships and open resources

What’s shaping frontier AI in 2026? Find out in London, May 21st

SAP: How enterprise AI governance secures profit margins

Per-token AI charges come to GitHub Copilot

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