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JUST IN: Mistral AI launches Voxtral TTS, a 4B open-weight streaming speech model for low-latency multilingual voice generation. The model provides high efficiency, ultra-low 70ms latency, supports 9 languages, and offers adaptive voice adaptation. #AI #VoxtralTTS

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JUST IN: Tutorial on Building Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory. Learn to create an AI agent with separate memory layers, efficient storage, retrieval policies, and smart consolidation techniques. #AI #Memory

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We just shipped something wild at music.creatus.ai Your face. Your song. AI magic. Turn any photo into a singing music video. For free.

JUST IN: IWE tutorial implements AI-powered knowledge graph with features like agentic RAG, OpenAI function calling, and graph traversal. Detailed steps on how to build a developer knowledge base from markdown notes covered extensively. #IWE #AI #KnowledgeGraph

JUST IN: Meta unveils TRIBE v2, a model predicting fMRI responses across various stimuli. The architecture integrates video, audio, and text using advanced encoders, showcasing superior performance and scaling laws without plateau. #BrainResearch

JUST IN: Google introduces Gemini 3.1 Flash Live, a real-time multimodal voice model for AI agents. It aims for low-latency, natural voice interactions by processing audio and video streams simultaneously, driving beyond traditional LLM architectures. #Google #Gemini31FlashLive

JUST IN: Cohere AI debuts 'Cohere Transcribe,' an Automatic Speech Recognition model for enterprise intelligence. It integrates Conformer & Transformer, excels in 14 languages, and leads in accuracy ratings. Accommodates long-form audio efficiently. #AI #SpeechRecognition

JUST IN: Tencent AI Lab releases Covo-Audio, a 7B large audio language model for real-time audio conversations. It integrates speech processing and language intelligence in its architecture for enhanced performance. #Tencent #CovoAudio

JUST IN: Tutorial on building a Vision-Guided Web AI Agent with MolmoWeb-4B using Multimodal Reasoning and Action Prediction. Learn to structure prompts, run inference on screenshots, parse actions, and simulate multi-step tasks for a functional web agent.

JUST IN: NVIDIA AI introduces PivotRL, a new AI framework achieving high agentic accuracy with 4x fewer rollout turns efficiently. The framework combines SFT efficiency with E2E RL generalization, showcasing impressive in-domain gains and OOD stability. #NVIDIA #PivotRL

JUST IN: Google introduces TurboQuant, a new compression algorithm reducing LLM cache memory by 6x and boosting speed by up to 8x, maintaining accuracy. Data-oblivious design without accuracy loss.

JUST IN: Large Language Models face memory limitations due to fixed block allocations. Paged Attention enhances efficiency by allocating memory in smaller, flexible chunks only when needed, leading to higher throughput with minimal overhead.

JUST IN: Tutorial on OpenSpace - self-evolving skill engine. Install from GitHub, set up workspace directories, execute tasks in cold-start & warm-start modes. Analyze task pipeline, AI-driven evolution analysis, and token savings demo. Comprehensive AI learning experience.

JUST IN: Meta AI introduces Hyperagents, merging task and meta agents in a single program for autonomous self-improvement across various domains like coding, robotics, and math grading. No domain alignment needed, enhancing performance exponentially. #AI #Hyperagents

JUST IN: Luma Labs releases Uni-1, an autoregressive transformer model focusing on reasoning before generating images. Uni-1 utilizes interleaved tokens and spatial logic for improved performance. API access soon at $0.10 per image. #AI #GenerativeMedia

JUST IN: BM25 and RAG differ in how they retrieve information. BM25 ranks documents based on query term appearances, while RAG matches meaning using embeddings. Both are used together in production systems for better results. #BM25 #RAG #InformationRetrieval

JUST IN: Tutorial on building a Deep Q-Learning agent from scratch using RLax, JAX, Haiku, and Optax for CartPole reinforcement learning. Learn to create a neural network, implement experience replay, train the agent with gradient-based optimization, and evaluate its performance.

JUST IN: Safely deploying new ML models in production is crucial. A/B, Canary, Interleaved, and Shadow Testing help evaluate models under real conditions, minimizing disruptions. These strategies ensure improved outcomes before full deployment.

JUST IN: Tutorial implements an uncertainty-aware LLM system generating answers, estimating confidence, self-evaluation, and triggering web research to improve reliability. Python & OpenAI API used for this comprehensive reasoning pipeline. #AI #UncertaintyAware