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Kyutai Releases Hibiki-Zero: A3B Parameter Simultaneous Speech-to-Speech Translation Model Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data
Hibiki-Zero is a 3B parameter, decoder-only model designed for simultaneous speech-to-speech (S2ST) and speech-to-text (S2TT) translation that eliminates the need for complex word-level aligned training data. By leveraging a multistream RQ-Transformer architecture and the streaming Mimi audio codec, the system jointly models source audio, target audio, and an "inner monologue" text stream at a 12.5 Hz framerate. The training pipeline first utilizes coarse sentence-level alignments followed by a novel reinforcement learning strategy using Group Relative Policy Optimization (GRPO) and BLEU-based process rewards to optimize the trade-off between translation quality and latency. This approach achieves state-of-the-art results in accuracy, naturalness, and cross-lingual speaker similarity across five language tasks, while demonstrating the ability to adapt to new languages, such as Italian, with less than 1,000 hours of data.....… Read the full analysis/article here.
Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows
Exa has launched Exa Instant, a proprietary neural search engine designed to solve the latency bottleneck in AI agent workflows. By bypassing traditional search engine wrappers and using a custom transformer-based stack, Exa Instant delivers web results in under 200ms with network speeds as low as 50ms. This 15x speed improvement allows engineers to treat search as a real-time primitive in RAG pipelines rather than a slow, external dependency. Priced at $5 per 1,000 requests, the model prioritizes semantic intent over keywords, effectively turning the live web into a high-speed context extension for LLMs......… Read the full analysis/article here.
Latest Releases in Last 72 Hours
Project Notebooks/Tutorials
▶ How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback Codes Tutorial
▶ Meet CopilotKit: Framework for building agent-native applications with Generative UI, shared state, and human-in-the-loop workflows Codes
▶ [In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data Codes Tutorial
▶ A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows Codes Tutorial
▶ A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting Codes Tutorial
▶ How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making Codes Tutorial