Editors Pick

Artificial Intelligence Editors Pick

Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training
ByRicardo July 5, 2025

Kyutai, an open AI research lab, has released a groundbreaking streaming Text-to-Speech (TTS) model with ~2 billion parameters. Designed for real-time responsiveness, this model delivers ultra-low latency audio generation (220 milliseconds) while maintaining high fidelity. It’s trained on an unprecedented 2.5 million hours of audio and is licensed under the permissive CC-BY-4.0, reinforcing Kyutai’s commitment…

Read More Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training
Editors Pick Staff

A Tutorial on Using OpenAI Codex with GitHub Repositories for Seamless AI-Powered Development
ByRicardo July 4, 2025

When we first land in the Codex environment, it feels like stepping into a co-pilot’s seat for coding. Codex is designed to take over much of the routine or overwhelming parts of software engineering, like understanding massive codebases, drafting PRs, and finding bugs, and help us focus on higher-level thinking. In this guided setup, we…

Read More A Tutorial on Using OpenAI Codex with GitHub Repositories for Seamless AI-Powered Development
Artificial Intelligence Editors Pick

TabArena: Benchmarking Tabular Machine Learning with Reproducibility and Ensembling at Scale
ByRicardo July 1, 2025

Understanding the Importance of Benchmarking in Tabular ML Machine learning on tabular data focuses on building models that learn patterns from structured datasets, typically composed of rows and columns similar to those found in spreadsheets. These datasets are used in industries ranging from healthcare to finance, where accuracy and interpretability are essential. Techniques such as…

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Agentic AI Editors Pick

Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel
ByRicardo July 1, 2025

In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin classes to bridge the generative power of Gemini with AutoGen’s multi-agent orchestration. From there, we configure specialist agents, ranging from code reviewers to creative analysts, demonstrating…

Read More Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel
Artificial Intelligence Editors Pick

MDM-Prime: A generalized Masked Diffusion Models (MDMs) Framework that Enables Partially Unmasked Tokens during Sampling
ByRicardo June 30, 2025

Introduction to MDMs and Their Inefficiencies Masked Diffusion Models (MDMs) are powerful tools for generating discrete data, such as text or symbolic sequences, by gradually unmasking tokens over time. In each step, tokens are either masked or unmasked. However, it’s been observed that many steps in the reverse process don’t change the sequence, leading to…

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Editors Pick Staff

A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights
ByRicardo June 29, 2025

In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines Lilac’s dataset management capabilities with Python’s functional programming paradigm to create a clean, extensible workflow. From setting up a project and generating realistic sample data to extracting insights and exporting filtered…

Read More A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights
Editors Pick MLOps

Getting Started with MLFlow for LLM Evaluation
ByRicardo June 27, 2025

MLflow is a powerful open-source platform for managing the machine learning lifecycle. While it’s traditionally used for tracking model experiments, logging parameters, and managing deployments, MLflow has recently introduced support for evaluating Large Language Models (LLMs). In this tutorial, we explore how to use MLflow to evaluate the performance of an LLM—in our case, Google’s…

Read More Getting Started with MLFlow for LLM Evaluation
Editors Pick New Releases

Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning
ByRicardo June 27, 2025

The Rising Need for Scalable Reasoning Models in Machine Intelligence Advanced reasoning models are at the frontier of machine intelligence, especially in domains like math problem-solving and symbolic reasoning. These models are designed to perform multi-step calculations and logical deductions, often generating solutions that mirror human reasoning processes. Reinforcement learning techniques are used to improve…

Read More Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning
Artificial Intelligence Editors Pick

GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains
ByRicardo June 27, 2025

Limitations of Reinforcement Learning in Narrow Reasoning Domains Reinforcement Learning RL has demonstrated strong potential to enhance the reasoning capabilities of LLMs, particularly in leading systems such as OpenAI-O3 and DeepSeek-R1. However, most RL research has focused narrowly on math and code, limiting its general applicability. This narrow scope poses two issues: our understanding of…

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Editors Pick New Releases

Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity
ByRicardo June 25, 2025

Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward in the field of embodied AI by eliminating the need for continuous cloud connectivity while maintaining the flexibility, generality, and high precision associated with the…

Read More Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity

Editors Pick

Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training

A Tutorial on Using OpenAI Codex with GitHub Repositories for Seamless AI-Powered Development

TabArena: Benchmarking Tabular Machine Learning with Reproducibility and Ensembling at Scale

Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel

MDM-Prime: A generalized Masked Diffusion Models (MDMs) Framework that Enables Partially Unmasked Tokens during Sampling

A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

Getting Started with MLFlow for LLM Evaluation

Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning

GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains

Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity

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