From RAG to ReST: A Survey of Advanced Techniques in Large Language Model Development
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…
Cake: A Rust Framework for Distributed Inference of Large Models like LLama3 based on Candle
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…
H2O.ai Announced the Launch of Danube3 Series
H2O.ai, the open-source leader in Generative AI and machine learning, is excited to announce the global release of the H2O-Danube3 series, the latest addition to its suite of small language…
COMCAT: Enhancing Software Maintenance through Automated Code Documentation and Improved Developer Comprehension Using Advanced Language Models
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…
Nscale Acquires Kontena to Enhance HPC & AI Infrastructure Capabilities
Nscale, a fully vertically integrated AI cloud platform, today announced the acquisition of Kontena, a leader in high-density modular data centres and AI Data Centre solutions. This acquisition marks a…
NavGPT-2: Integrating LLMs and Navigation Policy Networks for Smarter Agents
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…
Tencent AI Team Introduces Patch-Level Training for Large Language Models LLMs: Reducing the Sequence Length by Compressing Multiple Tokens into a Single Patch
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…
Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches GPT-4 Performance Level
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…
LOTUS: A Query Engine for Reasoning over Large Corpora of Unstructured and Structured Data with LLMs
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.…
Monitoring AI-Modified Content at Scale: Impact of ChatGPT on Peer Reviews in AI Conferences
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…