​[[{“value”:” Language models (LMs) are designed to reflect a broad range of voices, leading to outputs that don’t perfectly match any single perspective. To avoid generic responses, one can use LLMs through supervised fine-tuning (SFT) or reinforcement learning with human feedback (RLHF). However, these methods… Read More »Demonstration ITerated Task Optimization (DITTO): A Novel AI Method that Aligns Language Model Outputs Directly with User’s Demonstrated Behaviors Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Qwen Team recently unveiled their latest breakthrough, the Qwen2-72B. This state-of-the-art language model showcases advancements in size, performance, and versatility. Let’s look into the key features, performance metrics, and potential impact of Qwen2-72B on various AI applications. Qwen2-72B is part of the Qwen2… Read More »Meet Qwen2-72B: An Advanced AI Model With 72B Parameters, 128K Token Support, Multilingual Mastery, and SOTA Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language Learning Models (LLMs), which are very good at reasoning and coming up with good answers, are sometimes honest about their mistakes and tend to hallucinate when asked questions they haven’t seen before. When the responses are more than just one token, it becomes… Read More »SaySelf: A Machine Learning Training Framework That Teaches LLMs To Express More Accurate Fine-Grained Confidence Estimates Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cultural accumulation, the ability to learn skills and accumulate knowledge across generations, is considered a key driver of human success. However, current methodologies in artificial learning systems, such as deep reinforcement learning (RL), typically frame the learning problem as occurring over a single “lifetime.”… Read More »Modeling Cultural Accumulation in Artificial Reinforcement Learning Agents Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Most neural network topologies heavily rely on matrix multiplication (MatMul), primarily because it is essential to many basic processes. Vector-matrix multiplication (VMM) is commonly used by dense layers in neural networks, and matrix-matrix multiplication (MMM) is used by self-attention mechanisms. The heavy dependence on… Read More »This AI Research Discusses Achieving Efficient Large Language Models (LLMs) by Eliminating Matrix Multiplication for Scalable Performance Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” OpenAI recently announced a revolutionary feature called GPTs. The concept of GPTs is very simple to explain: GPTs mean you can create a custom version of ChatGPT by combining instructions, extra knowledge on the subject matter, and some skills. Basically, GPTs are custom versions… Read More »10 GPTs for Software Developers Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have advanced significantly in recent years. Models like ChatGPT and GPT-4 allow users to interact with and elicit natural language responses. To improve the human-machine interaction and accuracy of LLMs, it is essential to have a method to evaluate these… Read More »CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Agents based on LLMs hold promise for accelerating scientific discovery, especially in biomedical research. They leverage extensive background knowledge to design and interpret experiments, particularly useful for identifying drug targets through CRISPR-based genetic perturbation. Despite their potential, LLM-based agents have yet to be fully… Read More »BioDiscoveryAgent: Revolutionizing Genetic Experiment Design with AI-Powered Insights Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal learning is a rapidly evolving field focusing on training models to understand and generate content across various modalities, including text and images. By leveraging extensive datasets, these models can align visual and textual representations within a shared embedding space, facilitating applications such as… Read More »Jina AI Open Sources Jina CLIP: A State-of-the-Art English Multimodal (Text-Image) Embedding Model Asif Razzaq Artificial Intelligence Category – MarkTechPost