[[{“value”:” The large Language Model, or LLM, has revolutionized how people work. By helping users generate the answer from a text prompt, LLM can do many things, such as answering questions, summarizing, planning events, and more. However, there are times when the output from LLM… Read More »Understanding LangChain LLM Output Parser Cornellius Yudha Wijaya MachineLearningMastery.com
[[{“value”:” Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. However, these models face significant challenges, including temporal limitations of their knowledge base, difficulties with complex mathematical computations, and a tendency to produce inaccurate information or “hallucinations.” These limitations… Read More »From RAG to ReST: A Survey of Advanced Techniques in Large Language Model Development Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” Running large models for AI applications typically requires powerful and expensive hardware. For individuals or smaller organizations, this poses a significant barrier to entry. They often need help to afford the necessary top-tier GPUs to run models with billions of parameters, such as the… Read More »Cake: A Rust Framework for Distributed Inference of Large Models like LLama3 based on Candle Niharika Singh Artificial Intelligence Category – MarkTechPost
[[{“value”:” The field of software engineering continually evolves, with a significant focus on improving software maintenance and code comprehension. Automated code documentation is a critical area within this domain, aiming to enhance software readability and maintainability through advanced tools and techniques. A major challenge in… Read More »COMCAT: Enhancing Software Maintenance through Automated Code Documentation and Improved Developer Comprehension Using Advanced Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” LLMs excel in processing textual data, while VLN primarily involves visual information. Effectively combining these modalities requires sophisticated techniques to align and correlate visual and textual representations. Despite significant advancements in LLMs, a performance gap exists when these models are applied to VLN tasks… Read More »NavGPT-2: Integrating LLMs and Navigation Policy Networks for Smarter Agents Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost
[[{“value”:” The enormous increase in the training data needed by Large Language Models, along with their exceptional model capability, has allowed them to accomplish outstanding language understanding and generation advancements. The efficiency of large language model LLM training is a major topic because scaling up… Read More »Tencent AI Team Introduces Patch-Level Training for Large Language Models LLMs: Reducing the Sequence Length by Compressing Multiple Tokens into a Single Patch Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
[[{“value”:” Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing model within the open-source domain. Evaluated on the same stack as the OpenLLM Leaderboard 2.0, Arcee-Nova’s performance approaches that of… Read More »Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches GPT-4 Performance Level Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” The semantic capabilities of modern language models offer the potential for advanced analytics and reasoning over extensive knowledge corpora. However, current systems need more high-level abstractions for large-scale semantic queries. Complex tasks like summarizing recent research, extracting biomedical information, or analyzing internal business transcripts… Read More »LOTUS: A Query Engine for Reasoning over Large Corpora of Unstructured and Structured Data with LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) have been widely discussed in several domains, such as global media, science, and education. Even with this focus, measuring exactly how much LLM is used or assessing the effects of created text on information ecosystems is still difficult. A significant… Read More »Monitoring AI-Modified Content at Scale: Impact of ChatGPT on Peer Reviews in AI Conferences Tanya Malhotra Artificial Intelligence Category – MarkTechPost
[[{“value”:” Nexusflow has released Athene-Llama3-70B, an open-weight chat model fine-tuned from Meta AI’s Llama-3-70B. Athene-70B has achieved an Arena-Hard-Auto score of 77.8%, rivaling proprietary models like GPT-4o and Claude-3.5-Sonnet. This marks a significant improvement from its predecessor, Llama-3-70B-Instruct, which scored 46.6%. The enhancement stems from… Read More »Athene-Llama3-70B Released: An Open-Weight LLM Trained through RLHF based on Llama-3-70B-Instruct Mohammad Asjad Artificial Intelligence Category – MarkTechPost