Athene-Llama3-70B Released: An Open-Weight LLM Trained through RLHF based on Llama-3-70B-Instruct
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…
Apple AI Released a 7B Open-Source Language Model Trained on 2.5T Tokens on Open Datasets
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…
Nephilim v3 8B Released: An Innovative AI Approach to Merging Models for Enhanced Roleplay and Creativity
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…
The Neo4j LLM Knowledge Graph Builder: An AI Tool that Creates Knowledge Graphs from Unstructured Data
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…
Reinforcing Robust Refusal Training in LLMs: A Past Tense Reformulation Attack and Potential Defenses
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…
Agent Symbolic Learning: An Artificial Intelligence AI Framework for Agent Learning that Jointly Optimizes All Symbolic Components within an Agent System
Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents faces…
This AI Paper from NYU and Meta Introduces Neural Optimal Transport with Lagrangian Costs: Efficient Modeling of Complex Transport Dynamics
Optimal transport is a mathematical discipline focused on determining the most efficient way to move mass between probability distributions. This field has wide-ranging applications in economics, where it is used…
Together AI Unveils Revolutionary Inference Stack: Setting New Standards in Generative AI Performance
Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses…
Exploring the Impact of ChatGPT’s AI Capabilities and Human-like Traits on Enhancing Knowledge and User Satisfaction in Workplace Environments
Conversational AI systems like ChatGPT have gained considerable attention among the various AI advancements. These systems utilize advanced machine learning algorithms and natural language processing to assist users in numerous…
Evaluating the Robustness and Fairness of Instruction-Tuned LLMs in Clinical Tasks: Implications for Performance Variability and Demographic Fairness
Instruction-tuned LLMs can handle various tasks using natural language instructions, but their performance is sensitive to how instructions are phrased. This issue is critical in healthcare, where clinicians, who may…