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AgentLite by Salesforce AI Research: Transforming LLM Agent Development with an Open-Source, Lightweight, Task-Oriented Library for Enhanced Innovation

Marktechpost

Researchers are considering the fusion of large language models (LLMs) with AI agents as a significant leap forward in AI. However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks.

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Microsoft AI Research Unveils DeepSpeed-FastGen: Elevating LLM Serving Efficiency with Innovative Dynamic SplitFuse Technique

Marktechpost

Large language models (LLMs) have revolutionized various AI-infused applications, from chat models to autonomous driving. Traditional approaches to LLM serving, while adept at training models effectively, falter during inference, especially in tasks like open-ended text generation. lower tail latency compared to vLLM.

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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.

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This AI Research Introduces Fast and Expressive LLM Inference with RadixAttention and SGLang

Marktechpost

Frontend: Easy LLM Programming with SGLang The team also presents SGLang, an embedded domain-specific language in Python, on the front end. The researchers recorded the throughput their system attained when testing it on the following typical LLM workloads: MMLU: A multi-tasking, 5-shot, multiple-choice test. advice v0.1.8,

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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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Salesforce AI Researchers Introduce the Evolution of LLM-Augmented Autonomous Agents and the Innovative BOLAA Strategy

Marktechpost

Recent large language model (LLM) accomplishments encourage new research into using LLMs to handle various complicated tasks, with LLM-augmented Autonomous Agents (LAAs) garnering the greatest attention. Another well-liked open-source LAA framework that permits LLM API calls is AutoGPT3.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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