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We’ve aggregated 387 of MarkTechPost’s headlines and news stories over the past 3 months.

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What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence

Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information. Context engineering isn…Artificial Intelligence See the Story

A Coding Guide to Build Modular and Self-Correcting QA Systems with DSPy

In this tutorial, we explore how to build an intelligent and self-correcting question-answering system using the DSPy framework, integrated with Google’s Gemini 1.5 Flash model. We begin by defining structured Signatures that clearly outline input-output behavior, which DSPy uses as its foundation for building reliable pipelines. With DSPy’s declarative programming approach, we construct composable modules, such as AdvancedQA and SimpleRAG, to a…Google · Mountain View Read Article

Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design

TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo antibody design. Achieving a 16% hit rate across 52 novel targets using ≤20 candidates per target, Chai-2 outperforms prior methods by over 100x and delivers validated binders in under two weeks—eliminating the need for large-scale screening. In a significant advancement for computational drug discovery, the Chai Discovery Team has introduced Chai-2…Artificial Intelligence Read Article

Can We Improve Llama 3’s Reasoning Through Post-Training Alone? ASTRO Shows +16% to +20% Benchmark Gains – #CryptoUpdatesGNIT

Improving the reasoning capabilities of large language models (LLMs) without architectural changes is a core challenge in advancing AI alignment and usability. Researchers at Meta AI and the University of Washington have introduced ASTRO—Autoregressive Search-Taught Reasoner—a novel post-training framework designed to enhance reasoning in Llama-3.1-70B-Instruct. ASTRO is unique in teaching models to perform in-context search, self-reflection, an…Artificial Intelligence · Seattle See the Story

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

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 to openness and reproducibility. Th…See the Story

HOLY SMOKES! A New, 200% Faster DeepSeek R1-0528 Variant Appears From German Lab TNG Technology Consulting GmbH

100% Center coverage: 1 sources

The latest AI news, analysis, and insight from VentureBeat, the most authoritative source on transformative technology.Innovation · Germany See the Story

From Biomedical Knowledge Graph Construction to Semantic Querying: a Comprehensive Approach

100% Center coverage: 1 sources

In the biomedical field, the construction and application of knowledge graphs are becoming increasingly important because they can effectively integrate and manage large amounts of complex medical information. This study provides a whole-process approach for the biomedical field, from constructing knowledge graphs to semantic query based on knowledge graphs. In the knowledge graph construction stage, we propose the BioPLBC model, which incorpora…See the Story

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DeepMind’s new AlphaGenome AI tackles the ‘dark matter’ in our DNA

Google Brings Gemini to Developers with Open-Source CLI Tool

Baidu Open Sources ERNIE 4.5 AI Models to Global Developers

Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence

A Coding Guide to Build Modular and Self-Correcting QA Systems with DSPy

Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design

Can We Improve Llama 3’s Reasoning Through Post-Training Alone? ASTRO Shows +16% to +20% Benchmark Gains – #CryptoUpdatesGNIT

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

HOLY SMOKES! A New, 200% Faster DeepSeek R1-0528 Variant Appears From German Lab TNG Technology Consulting GmbH

From Biomedical Knowledge Graph Construction to Semantic Querying: a Comprehensive Approach

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