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

Marktechpost

Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Similarly, they instruct LLMs to learn a more accurate posterior distribution over the unknown environment by consulting the memory buffer and designing a series of actions that will maximize some value function. We are also on WhatsApp.

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Meta AI Researchers Introduce RA-DIT: A New Artificial Intelligence Approach to Retrofitting Language Models with Enhanced Retrieval Capabilities for Knowledge-Intensive Tasks

Marktechpost

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

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Mistral AI unveils LLM rivalling major players

AI News

Mistral AI, a France-based startup, has introduced a new large language model (LLM) called Mistral Large that it claims can compete with several top AI systems on the market. Mistral AI stated that Mistral Large outscored most major LLMs except for OpenAI’s recently launched GPT-4 in tests of language understanding.

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Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Marktechpost

The input, a taxonomy, has been created with minimal human effort through LLM prompting and verification. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. It is scalable, producing instructions on an enormous scale, and task-agnostic, spanning a wide range of disciplines.

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Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters

Marktechpost

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

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How Can We Effectively Compress Large Language Models with One-Bit Weights? This Artificial Intelligence Research Proposes PB-LLM: Exploring the Potential of Partially-Binarized LLMs

Marktechpost

In Large Language Models (LLMs), Partially-Binarized LLMs (PB-LLM) is a cutting-edge technique for achieving extreme low-bit quantization in LLMs without sacrificing language reasoning capabilities. PB-LLM strategically filters salient weights during binarization, reserving them for higher-bit storage.

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This AI Research from Stanford and UC Berkeley Discusses How ChatGPT’s Behavior is Changing Over Time

Marktechpost

Large Language Models (LLMs) like GPT 3.5 and GPT 4 have recently gained a lot of attention in the Artificial Intelligence (AI) community. However, it is impossible to foresee how modifications in the model would affect its output because of the opaque nature of the process and the impact of these updates on LLM behavior.