​[[{“value”:” In AI, developing language models that can efficiently and accurately perform diverse tasks while ensuring user privacy and ethical considerations is a significant challenge. These models must handle various data types and applications without compromising performance or security. Ensuring that these models operate within… Read More »This AI Paper from Apple Introduces the Foundation Language Models that Power Apple Intelligence Features: AFM-on-Device and AFM-Server Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. As part of this commitment, AWS Japan announced the AWS LLM Development Support Program (LLM Program), through which we’ve had… Read More »Unlocking Japanese LLMs with AWS Trainium: Innovators Showcase from the AWS LLM Development Support Program Yoshitaka Haribara AWS Machine Learning Blog

​[[{“value”:” As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing… Read More »Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock Talha Chattha AWS Machine Learning Blog

​[[{“value”:” NVIDIA researchers used NVIDIA Edify, a multimodal architecture for visual generative AI, to build a detailed 3D desert landscape within a few minutes in a live demo at SIGGRAPH’s Real-Time Live event on Tuesday. During the event — one of the prestigious graphics conference’s… Read More »NVIDIA Researchers Harness Real-Time Gen AI to Build Immersive Desert World Gerardo Delgado – Archives Page 1 | NVIDIA Blog

​Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability. Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.  Read More  

​[[{“value”:” Meta has introduced SAM 2, the next generation of its Segment Anything Model. Building on the success of its predecessor, SAM 2 is a groundbreaking unified model designed for real-time promptable object segmentation in images and videos. SAM 2 extends the original SAM’s capabilities,… Read More »Meta AI Introduces Meta Segment Anything Model 2 (SAM 2): The First Unified Model for Segmenting Objects Across Images and Videos Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Unveiling the Speakers, Agenda and Theme of Chatbot Conference 2024 Dear AI Enthusiasts, We’re thrilled to unveil the agenda for this year’s Chatbot Conference, scheduled for September 24–26 in the tech-savvy city of San Francisco. This year, we’re zeroing in on a groundbreaking theme:… Read More »Unlock the Future: AI Agents and LLMs at Chatbot Conference 2024 Stefan Kojouharov Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” The Retrieval-Augmented Language Model (RALM) enhances LLMs by integrating external knowledge during inference, which reduces factual inaccuracies. Despite this, RALMs face challenges in reliability and traceability. Noisy retrieval can lead to unhelpful or incorrect responses, and a lack of proper citations complicates verifying the… Read More »Baidu AI Presents an End-to-End Self-Reasoning Framework to Improve the Reliability and Traceability of RAG Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations,… Read More »7 Free Resource to Master LLMs Abid Ali Awan MachineLearningMastery.com

​[[{“value”:” The problem of a mediator learning to coordinate a group of strategic agents is considered through action recommendations without knowing their underlying utility functions, such as routing drivers through a road network. The challenge lies in the difficulty of manually specifying the quality of… Read More »CMU Researchers Explore Expert Guidance and Strategic Deviations in Multi-Agent Imitation Learning Sajjad Ansari Artificial Intelligence Category – MarkTechPost