Skip to content Skip to sidebar Skip to footer

Large Language Model

Google launches Gemma 2 Series: Sophisticated LLM Models in 9B and 27B versions trained on 13T tokens.

Google has introduced two new advanced AI models, the Gemma 2 27B and 9B, underlining their continued commitment to revolutionizing AI technology. Capable of superior performance but with a compact structure, these models represent significant advancements in AI language processing. The larger model, the Gemma 2 27B, boasts 27 billion parameters, allowing it to handle more…

Read More

EAGLE-2: A Resourceful Speculative Sampling Technique Delivering Accelerated Ratios from 3.05x to 4.26x, Resulting in a 20%-40% Superior Speed than EAGLE-1.

Large Language Models (LLMs) have made advancements in several sectors such as chatbots and content creation but struggle with extensive computational cost and time required for real-time applications. While various methods have attempted to resolve this, they are often not context-aware and result in inefficient acceptance rates of draft tokens. To address this, researchers from…

Read More

GraphReader: An AI Agent System Built on Graph-structures for Managing Extensive Texts by Organizing them into Graphs and Utilizing an Agent for Independent Exploration of these Graphs.

Large Language Models (LLMs) have played a notable role in enhancing the understanding and generation of natural language. They have, however, faced challenges in processing long contexts due to restrictions in context window size and memory usage. This has spawned research to address these limitations and come up with ways of making the LLMs work…

Read More

GraphReader: An Artificial Intelligence system built on a graph framework intended to manage extensive texts by organizing them into a graph, which is then navigated independently by an AI agent.

Large language models (LLMs) have made significant progress in the understanding and generation of natural language, but their application over long contexts is still limited due to constraints in context window sizes and memory usage. It's a pressing concern as the demand for LLMs' ability to handle complex and lengthy tasks is on the rise. Various…

Read More

The AI study by Google’s DeepMind investigates the impact of communication linkage in systems involving multiple agents.

In the field of large language models (LLMs), multi-agent debates (MAD) pose a significant challenge due to their high computational costs. They involve multiple agents communicating with one another, all referencing each other's solutions. Despite attempts to improve LLM performance through Chain-of-Thought (CoT) prompting and self-consistency, these methods are still limited by the increased complexity…

Read More

Path: A Machine Learning Technique for Educating Small-Scale (Sub-100M Parameter) Neural Data Retrieval Models Utilizing a Minimum of 10 Gold Relevance Labels

The use of pretrained language models and their creative applications have contributed to significant improvements in the quality of information retrieval (IR). However, there are questions about the necessity and efficiency of training these models on large datasets, especially for languages with scant labeled IR data or niche domains. Researchers from the University of Waterloo,…

Read More

Replete-AI presents Replete-Coder-Qwen2-1.5b: A Multipurpose AI Model for Sophisticated Programming and Common Applications with Unrivalled Performance Efficiency.

Replete AI has launched Replete-Coder-Qwen2-1.5b, an artificial intelligence (AI) model with extensive capabilities in coding and other areas. Developed using a mix of non-coding and coding data, the model is designed to perform diverse tasks, making it a versatile solution for a range of applications. Replete-Coder-Qwen2-1.5b is part of the Replete-Coder series and has been…

Read More

EvolutionaryScale has unveiled its new innovative product, ESM3, which combines modality, generativity, and language modeling to comprehensively analyze protein structures, systems, and functions.

Natural evolution has meticulously shaped proteins over more than three billion years. Modern-day research is closely studying these proteins to understand their structures and functions. Large language models are increasingly being employed to interpret the complexities of these protein structures. Such models demonstrate a solid capacity, even without specific training on biological functions, to naturally…

Read More

EvolutionaryScale unveils ESM3: An innovative Multimodal Generative Language Model that can analyze and interpret the sequence, structure, and function of proteins.

Scientists from Evolutionary Scale PBC, Arc Institute, and the University of California have developed an advanced generative language model for proteins known as ESM3. The protein language model is a sophisticated tool designed to understand and forecast proteins' sequence, structure, and function. It applies the masked language modeling approach to predict masked portions of protein…

Read More

The Artificial Analysis Group introduces the leaderboard and arena for text to image analysis.

Artificial Analysis has launched the Artificial Analysis Text to Image Leaderboard & Arena, an initiative aimed at evaluating the effectiveness of AI image models. The initiative compares open-source and proprietary models, seeking to rate their effectiveness and accuracy based on the preferences of humans. The leaderboard, updated with ELO scores compiled from over 45,000 human…

Read More

Camb AI has launched MARS5 TTS – an innovative Open Source Text to Speech model that significantly enhances prosody.

MARS5 TTS, an open-source text-to-speech system, has been released by the team at Camb AI, offering game-changing levels of precision and control in the field of speech synthesis. This innovative system can clone voices and provide nuanced control of prosody using less than 5 seconds of audio input. MARS5 TTS utilises a two-step process involving a…

Read More

What is the Quantity of Scholarly Articles Produced Using ChatGPT? This AI Study Explores the Application of ChatGPT in Scholarly Writing by Overabundance of Vocabulary.

The use of large language models (LLMs), such as ChatGPT, has significantly increased in academic writing, resulting in observable shifts in writing style and vocabulary, particularly in biomedical research. Concerns have risen around the authenticity and originality of scientific content and its implications for research integrity and the evaluation of academic contributions. Traditional methods for detecting…

Read More