The Surprising Efficiency of Fine-tuned LLMs on Patent Claim GenerationHow Fine-Tuned LLMs can outperform larger models in patent claim generationDec 24, 2024Dec 24, 2024
Is Bigger Always Better for Large Language Models?While increasing the size of LLMs has led to impressive gains in performance, such as complex reasoning and accuracy, it now appears that…Dec 17, 2024Dec 17, 2024
Leveraging Automated Data Labeling Tools for Efficient LLM Fine-TuningAs AI models continue to advance rapidly, the need for labeling high-quality data is more important than ever. Yet, one persistent hurdle…Dec 2, 2024Dec 2, 2024
Building Autonomous Agent for Extracting Insights from Financial NewsTimely and accurate information is critical for making informed decisions when investing in public companies. Financial analysts often face…Oct 10, 2024Oct 10, 2024
Published inUBIAI NLPFine-Tuning LLAMA 3 Model for Relation Extraction Using UbiAIExtracting meaningful relationships from unstructured text has gained critical importance. This article examines the process of fine-tuning…Aug 13, 20241Aug 13, 20241
Published inUBIAI NLPIntegrating Knowledge Graphs into the RAG Stack in 2024In the rapidly evolving field of artificial intelligence, integrating various technologies to enhance performance and capabilities is a…Aug 13, 20242Aug 13, 20242
Published inUBIAI NLPLLM reinforcement learning: What is Essential in 2024 ?In the swiftly evolving realm of artificial intelligence, Reinforcement Learning (RL) emerges as a cornerstone paradigm, providing a…May 8, 20242May 8, 20242
Published inUBIAI NLPA Comparison of Mixture of Experts and Mixture of Tokens for Language Model Efficiency EnhancementIn the dynamic realm of large language models, the pursuit of enhanced efficiency and potency takes center stage in innovation. The advent…May 8, 2024May 8, 2024
