Code to 10x Growth
Large language models (LLMs) have revolutionized natural language processing, driving advancements in fields like text generation, visual understanding, and more. However, continually re-training these models from scratch is prohibitively expensive. This blog explores scalable strategies to continually pre-train LLMs, maintaining performance while significantly reducing computational costs.
Manager/Senior Analyst
June 11, 2024
Long Short-Term Memory (LSTM) networks have been a cornerstone in deep learning, particularly for sequential data. Despite their success, LSTMs have limitations that have become more evident with the rise of Transformer models. This blog explores a new study introducing xLSTM, an extended LSTM architecture designed to overcome...
Manager/Senior Analyst
June 4, 2024
Large Language Models (LLMs) have revolutionized natural language processing, enabling various applications from text generation to automatic evaluation. However, the reliability of these models as evaluators is questioned due to inherent cognitive biases. The study introduces the COBBLER benchmark, designed to measure these biases in LLM...
Manager/Senior Analyst
May 28, 2024
The advancement of Large Language Models (LLMs) has ushered in a new era of artificial intelligence, particularly in the realm of web automation. Language Model Agents (LMAs), which utilize these LLMs, have demonstrated exceptional capabilities, often outperforming humans and other learning-based agents in multi-step decision-making tasks...
Manager/Senior Analyst
May 28, 2024