Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often crumble under their own weight because of instruction overload, inaccurate outputs, and brittle systems that are impossible to scale. …
Read more “How to build a simple multi-agentic system using Google’s ADK”
Sakana AI’s new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.Read More
Newly disclosed records show Attorney General Pam Bondi gave cover to not only Apple and Google, but also several other companies that help TikTok operate in the US.
A multinational team has cracked a long-standing barrier to reliable quantum computing by inventing an algorithm that lets ordinary computers faithfully mimic a fault-tolerant quantum circuit built on the notoriously tricky GKP bosonic code, promising a crucial test-bed for future quantum hardware.
As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion by 2033—the technology seems equipped to handle any task. Driving cars. Analyzing medical images. Making music. Having a conversation.
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Retrieval-augmented generation (RAG) has shaken up the world of language models by combining the best of two worlds:
Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important to the quality of the model. LLMs contain billions of parameters, so these small fractions, such as 0.01%, translate to hundreds of thousands of parameters. In this work, we present an even more surprising finding: …
By Vipul Marlecha, Lara Deek, Thiara Ortiz The mission of Open Connect, our dedicated content delivery network (CDN), is to deliver the best quality of experience (QoE) to our members. By localizing our Open Connect Appliances (OCAs), we bring Netflix content closer to the end user. This is achieved through close partnerships with internet service providers …
Read more “Driving Content Delivery Efficiency Through Classifying Cache Misses”
Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This transformation is further enhanced by Retrieval Augmented Generation (RAG), a technique that allows large language models (LLMs) to reference external knowledge sources beyond their training data. RAG has gained popularity for its ability to improve …