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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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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. politico.eu politico.eu

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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This AI Research Introduces ‘RAFA’: A Principled Artificial Intelligence Framework for Autonomous LLM Agents with Provable Sample Efficiency

Marktechpost

To be more precise, they create a long-term trajectory planner (“reason for future”) that learns from the memory buffer’s prompts for reasoning. Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Meet LLM Surgeon: A New Machine Learning Framework for Unstructured, Semi-Structured, and Structured Pruning of Large Language Models (LLMs)

Marktechpost

The recent advancements in Artificial Intelligence have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters).

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SalesForce AI Research Proposed the FlipFlop Experiment as a Machine Learning Framework to Systematically Evaluate the LLM Behavior in Multi-Turn Conversations

Marktechpost

However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right, even if that perspective isn’t correct. The LLM performs a classification task in response to a user prompt at the initial turn of the discussion.

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Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models

Marktechpost

Researchers from the University of Potsdam, Qualcomm AI Research, and Amsterdam introduced a novel hybrid approach, combining LLMs with SLMs to optimize the efficiency of autoregressive decoding. This process begins with the LLM encoding the prompt into a comprehensive representation. speedup of LLM-to-SLM alone.