AI

Large language models, such as PaLM, Chinchilla, and ChatGPT, have opened up new possibilities in performing natural language processing (NLP) tasks from reading instructive cues. The prior art has demonstrated that instruction tuning, which involves finetuning language models on various NLP tasks organized with instructions, further improves language models’ capacity to carry out an unknown…

The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). Additionally, ChatGPT’s recent success and popularity have only served to increase people’s interest in LLMs. In-context learning and chain-of-thought prompting are two other major discoveries that have significantly improved the accuracy of the models….

In-context learning is a recent paradigm where a large language model (LLM) observes a test instance and a few training examples as its input and directly decodes the output without any update to its parameters. This implicit training contrasts with the usual training where the weights are changed based on the examples.  Here comes the…

Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like developing sophisticated programs. Human programmers, in contrast to other token generators, have (usually) learned to break down difficult tasks into manageable components that work alone (modular) and work together (compositional). As…

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. A model’s parameters are the components learned from previous training data and, in essence,…

Stability AI is a startup in the field of artificial intelligence best known for its Stable Diffusion image-generating AI technology. Today it has introduced a new free and open-source language model called StableLM. The model is offered in three different parameter sizes for the Alpha phase: three billion, seven billion, fifteen billion, and sixty-five billion….

Recently, huge language models have shown impressive generative skills, allowing them to handle a wide variety of problems. Typically, “prompting” is used to condition generation, either with task instructions and context or with a small number of samples. However, problems, including hallucination, deterioration, and wandering, have been observed in language generation, especially with smaller models….

Recent developments have seen a remarkable increase in the capability of large language models (LLMs), with generative pretrained transformer (GPT) models showing significant promise. The transition from GPT-3 to GPT-4, as well as the appearance of other LLMs like PaLM and LLaMA, demonstrated a considerable improvement in problem-solving and natural language understanding skills. Additionally, generative…

Artificial Intelligence has limitless possibilities, which is truly evident from the new releases and developments it introduces everyone to. With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. From deep…