​[[{“value”:” Model fusion involves merging multiple deep models into one. One intriguing potential benefit of model interpolation is its potential to enhance researchers’ understanding of the features of neural networks’ mode connectivity. In the context of federated learning, intermediate models are typically sent across edge… Read More »Weight Scope Alignment Method that Utilizes Weight Scope Regularization to Constrain the Alignment of Weight Scopes during Training Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale language models have become integral to natural language processing (NLP) advancements, transforming how machines understand and generate human language. These models have demonstrated remarkable abilities in various tasks, such as text generation, translation, and question-answering. Their development has been fueled by the availability… Read More »OLMoE-1B-7B and OLMoE-1B-7B-INSTRUCT Released: A Fully Open-Sourced Mixture-of-Experts LLM with 1B Active and 7B Total Parameters Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-4, Gemini, and Llama have revolutionized textual dataset augmentation, offering new possibilities for enhancing small downstream classifiers. However, this approach faces significant challenges. The primary issue lies in the substantial computational costs of LLM-based augmentation, resulting in high power… Read More »Comparative Analysis of LLM and Traditional Text Augmentation: Accuracy, Efficiency, and Cost-Effectiveness Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Information retrieval (IR) is a crucial area of research focusing on identifying and ranking relevant documents from extensive datasets to meet user queries effectively. As datasets grow, the need for precise and fast retrieval methods becomes even more critical. Traditional retrieval systems often rely… Read More »Answer.AI Releases ‘rerankers’: A Unified Python Library Streamlining Re-ranking Methods for Efficient and High-Performance Information Retrieval Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Several significant benchmarks have been developed to evaluate language understanding and specific applications of large language models (LLMs). Notable benchmarks include GLUE, SuperGLUE, ANLI, LAMA, TruthfulQA, and Persuasion for Good, which assess LLMs on tasks such as sentiment analysis, commonsense reasoning, and factual accuracy.… Read More »DetoxBench: Comprehensive Evaluation of Large Language Models for Effective Detection of Fraud and Abuse Across Diverse Real-World Scenarios Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Anthropic, a company known for its commitment to creating AI systems that prioritize safety, transparency, and alignment with human values, has introduced Claude for Enterprise to meet the growing demands of businesses seeking reliable, ethical AI solutions. As organizations increasingly adopt AI technologies to… Read More »Anthropic Released Claude for Enterprise: A Powerful and Ethical AI Solution Prioritizing Safety, Transparency, and Compliance for Modern Business Transformation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The landscape of large language models (LLMs) for coding has been enriched with the release of Yi-Coder by 01.AI, a series of open-source models designed for efficient and powerful coding performance. Despite its relatively small size, Yi-Coder delivers state-of-the-art results, positioning itself as a… Read More »Yi-Coder Released by 01.AI: A Powerful Small-Scale Code LLM Series, Delivering Exceptional Performance in Code Generation, Editing, and Long-Context Comprehension Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post was co-written with Jerry Liu from LlamaIndex. Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By combining the vast knowledge stored in external data sources with the generative power of LLMs,… Read More »Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock Shreyas Subramanian AWS Machine Learning Blog

​[[{“value”:” As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. Prompt engineering refers to the practice of crafting and optimizing… Read More »Evaluating prompts at scale with Prompt Management and Prompt Flows for Amazon Bedrock Antonio Rodriguez AWS Machine Learning Blog