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Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes

Marktechpost

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space.

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Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Marktechpost

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. All credit for this research goes to the researchers of this project.

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Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Marktechpost

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

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SGLang: An Open-Source Inference Engine Transforming LLM Deployment through CPU Scheduling, Cache-Aware Load Balancing, and Rapid Structured Output Generation

Marktechpost

SGLang is an open-source inference engine designed by the SGLang team to address these challenges. It optimizes CPU and GPU resources during inference, achieving significantly higher throughput than many competitive solutions. RadixAttention is central to SGLang, which reuses shared prompt prefixes across multiple requests.

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Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times

Marktechpost

In a recent study, a team of researchers presented PowerInfer, an effective LLM inference system designed for local deployments using a single consumer-grade GPU. The team has shared that PowerInfer is a GPU-CPU hybrid inference engine that makes use of this understanding. Check out the Paper and Github.

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Salesforce AI Research Propose Programmatic VLM Evaluation (PROVE): A New Benchmarking Paradigm for Evaluating VLM Responses to Open-Ended Queries

Marktechpost

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. The PROVE benchmark uses detailed scene graph representations and executable programs to verify the correctness of VLM responses.

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Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities

Marktechpost

One of the critical problems faced by AI researchers is that many current methods for enhancing LLM reasoning capabilities rely heavily on human intervention. In response to these limitations, researchers from Salesforce AI Research introduced a novel method called ReGenesis.