​[[{“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

​[[{“value”:” Language models (LMs) have become fundamental in natural language processing (NLP), enabling text generation, translation, and sentiment analysis tasks. These models demand vast amounts of training data to function accurately and efficiently. However, the quality and curation of these datasets are critical to the… Read More »Apple AI Released a 7B Open-Source Language Model Trained on 2.5T Tokens on Open Datasets Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Llama-3-Nephilim-v3-8B and llama-3-Nephilim-v3-8B-GGUF are two innovative models released on Hugging Face. Although these models were never explicitly trained for roleplay, they exhibit remarkable capability in this domain, highlighting the potential of “found art” approaches in AI development.  The creation of these models involved merging… Read More »Nephilim v3 8B Released: An Innovative AI Approach to Merging Models for Enhanced Roleplay and Creativity Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly developing field of Artificial Intelligence, it is more important than ever to convert unstructured data into organized, useful information efficiently. Recently, a team of researchers introduced the Neo4j LLM Knowledge Graph Builder, an AI tool that can easily address this issue.… Read More »The Neo4j LLM Knowledge Graph Builder: An AI Tool that Creates Knowledge Graphs from Unstructured Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-3.5 and GPT-4 are advanced artificial intelligence systems capable of generating human-like text. These models are trained on vast amounts of data to perform various tasks, from answering questions to writing essays. The primary challenge in the field is… Read More »Reinforcing Robust Refusal Training in LLMs: A Past Tense Reformulation Attack and Potential Defenses Nikhil Artificial Intelligence Category – MarkTechPost