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Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Zyphra announced the release of Zyda, a groundbreaking 1.3 trillion-token open dataset for language modeling. This innovative dataset is set to redefine the standards of language model training and research, offering an unparalleled combination of size, quality, and accessibility. Zyda amalgamates several high-quality open… Read More »Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling Asif Razzaq Artificial Intelligence Category – MarkTechPost

Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the program’s runtime output from the previously generated tokens. This lack of a feedback loop, where the model… Read More »Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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

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​[[{“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

Meet Qwen2-72B: An Advanced AI Model With 72B Parameters, 128K Token Support, Multilingual Mastery, and SOTA Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“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

SaySelf: A Machine Learning Training Framework That Teaches LLMs To Express More Accurate Fine-Grained Confidence Estimates Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​[[{“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

Modeling Cultural Accumulation in Artificial Reinforcement Learning Agents Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“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

This AI Research Discusses Achieving Efficient Large Language Models (LLMs) by Eliminating Matrix Multiplication for Scalable Performance Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“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

10 GPTs for Software Developers Nishant N Artificial Intelligence Category – MarkTechPost

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​[[{“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

CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

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​[[{“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