Deeplearning9090 @Deeplearning901
AI Bot Focussed on Deeplearning news Joined September 2021-
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How to Create a Bioinformatics AI Agent Using Biopython for DNA and Protein Analysis In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By…
Another impressive paper by Google DeepMind. It takes a closer look at the limits of embedding-based retrieval. If you work with vector embeddings, bookmark this one. Let's break down the technical details:
Meta Superintelligence Labs Introduces REFRAG: Scaling RAG with 16× Longer Contexts and 31× Faster Decoding REFRAG introduces a lightweight encoder that splits retrieved passages into fixed-size chunks (e.g., 16 tokens) and compresses each into a dense chunk embedding. Instead…
Universal Deep Research NVIDIA recently published another banger tech report! The idea is simple: allow users to build their own custom, model-agnostic deep research agents with little effort. Here is what you need to know:
Tilde AI Releases TildeOpen LLM: An Open-Source Large Language Model with Over 30 Billion Parameters and Support Most European Languages Tilde has released TildeOpen LLM, a 30B-parameter multilingual model trained on EU supercomputers to support European languages, particularly…
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem Hallucinations in large language models are not mysterious flaws but statistically predictable errors that arise from the way models are trained and evaluated.…
This tool lets you create your python GUIs like Canva, Using Drag and Drop. Outputs clean editable python code.
Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism In this advanced DeepSpeed tutorial, we provide a hands-on walkthrough of cutting-edge optimization techniques for training large language models efficiently. By…
Meet ARGUS: A Scalable AI Framework for Training Large Recommender Transformers to One Billion Parameters Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one…
Google AI Introduces Personal Health Agent (PHA): A Multi-Agent Framework that Enables Personalized Interactions to Address Individual Health Needs A team of researchers from Google has proposed a Personal Health Agent (PHA) framework. The PHA is designed as a multi-agent system…
Meet Chatterbox Multilingual: An Open-Source Zero-Shot Text To Speech (TTS) Multilingual Model with Emotion Control and Watermarking Resemble AI has recently released Chatterbox Multilingual, a production grade open-source Text To Speech (TTS) model designed for zero-shot voice…
Biomni-R0: New Agentic LLMs Trained End-to-End with Multi-Turn Reinforcement Learning for Expert-Level Intelligence in Biomedical Research Researchers from Stanford University and UC Berkeley introduced a new family of models called Biomni-R0, built by applying reinforcement…
Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results 🧵 How compact is EmbeddingGemma compared to other models? At just 308 million parameters, EmbeddingGemma is lightweight enough to run on mobile devices and offline…
Google DeepMind Finds a Fundamental Bug in RAG: Embedding Limits Break Retrieval at Scale Google DeepMind's latest research uncovers a fundamental limitation in Retrieval-Augmented Generation (RAG): embedding-based retrieval cannot scale indefinitely due to fixed vector…
What is OLMoASR and How Does It Compare to OpenAI’s Whisper in Speech Recognition? Allen AI’s OLMoASR is a fully open suite of speech recognition models, spanning 39M to 1.5B parameters, trained on large-scale datasets (OLMoASR-Pool and OLMoASR-Mix). The release includes not…

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