​[[{“value”:” Nvidia recently announced the release of two groundbreaking technologies in artificial intelligence: HelpSteer2 and Llama3-70B-SteerLM-RM. These innovations promise to significantly enhance the capabilities of AI systems in various applications, from autonomous driving to natural language processing. Image Source [Dated 18th June 2024] HelpSteer2: Revolutionizing… Read More »NVIDIA AI Releases HelpSteer2 and Llama3-70B-SteerLM-RM: An Open-Source Helpfulness Dataset and a 70 Billion Parameter Language Model Respectively Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ September 24–26 2024 Chatbot Conference 2024 Chatbot Enthusiasts, We are excited to announce that the Chatbot Conference 2024 is officially open for registration! Join us for an exciting three-day event in San Francisco from September 24th to 26th, where industry leaders, developers, and innovators will… Read More »Chatbot Conference Coming to San Francisco Stefan Kojouharov Chatbots Life – Medium

​[[{“value”:” Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that… Read More »How to Fix ‘AI’s Original Sin’ Tim O’Reilly AI & ML – Radar

​[[{“value”:” Large language models (LLMs) have made significant strides in handling multiple modalities and tasks, but they still need to improve their ability to process diverse inputs and perform a wide range of tasks effectively. The primary challenge lies in developing a single neural network… Read More »Apple Releases 4M-21: A Very Effective Multimodal AI Model that Solves Tens of Tasks and Modalities Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In supervised multi-modal learning, data is mapped from various modalities to a target label using information about the boundaries between the modalities. Different fields have been interested in this issue: autonomous vehicles, healthcare, robots, and many more. Although multi-modal learning is a fundamental paradigm… Read More »NYU Researchers Propose Inter- & Intra-Modality Modeling (I2M2) for Multi-Modal Learning, Capturing both Inter-Modality and Intra-Modality Dependencies Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data-driven methods that convert offline datasets of prior experiences into policies are a key way to solve control problems in various fields. There are mainly two approaches for learning policies from offline data, imitation learning and offline reinforcement learning (RL). Imitation learning needs high-quality… Read More »Exploring Offline Reinforcement Learning RL: Offering Practical Advice for Domain-Specific Practitioners and Future Algorithm Development Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” DuckDB is a high-performance analytical database system designed to excel in various data-intensive tasks. Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers a robust SQL dialect that goes far beyond basic SQL functionalities, making it an exceptional tool for sophisticated data analysis.… Read More »DuckDB: An Analytical in-Process SQL Database Management System DBMS Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Almost every week brings a whole new LLM application, each with its own specific output speed, cost, and quality needs. Additionally, the models that offer the best performance for the job need to be made apparent. Because of this, there are a lot of… Read More »Meet Unify AI: An AI Startup that Dynamically Routes Each User Prompt to the Best LLM for Better Quality, Speed, and Cost Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost