Large Language Model

Microsoft AI Research Proposes eXtensible Prompt (X-Prompt) for Prompting a Large Language Model (LLM) Beyond Natural Language (NL)

Due to their capacity to produce text comparable to human-written material and their versatility in various natural language processing (NLP) applications, large language models...

A New Artificial Intelligence (AI) Research Approach Presents Prompt-Based In-Context Learning As An Algorithm Learning Problem From A Statistical Perspective

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...

Meet SymbolicAI: The Powerful Framework That Combines The Strengths Of Symbolic Artificial Intelligence (AI) And Large Language Models

Latest innovations in the field of Artificial Intelligence have made it possible to describe intelligent systems with a better and more eloquent understanding of...

This Artificial Intelligence Research Confirms That Transformer-Based Large Language Models Are Computationally Universal When Augmented With An External Memory

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, ChatGPTā€™s recent...

Researchers at the University of Maryland Propose Cold Diffusion: A Diffusion Model with Deterministic Perturbations

Diffusion models can be interpreted as stochastic encoder/decoder architectures, which are built around a residual architecture that successively applies a learned transformation. To this,...

Meet HyDE: An Effective Fully Zero-Shot Dense Retrieval Systems That Require No Relevance Supervision, Works Out-of-Box, And Generalize Across Tasks

Dense retrieval, a technique for finding documents based on similarities in semantic embedding, has been shown effective for tasks including fact-checking, question-answering, and online...

LangChain Open-Sources Its Chatbot For Answering Queries About LangChainā€™s Documentation

Emerging as a game-changing technology, large language models (LLMs) let programmers create programs they couldn't create before. However, the strength of these LLMs derives...

AI21 Labs Proposes A New Method Called ‘In-Context RALM’ That Can Add Ready-Made External Knowledge Sources To The Existing Language Model

With recent developments in language modeling (LM) research, machine-generated text applications have spread to a number of previously untapped domains. However, a significant issue...

From Misinformation to Public Manipulation: This AI Research Report Shows the Dangers of Large Language Models in the Spread of Convincible Fake News

The advancements in the field of AI have brought about a broad range of benefits and have the potential to revolutionize many domains and...

A New Artificial Intelligence (AI) Research Focuses on The Personalization of Generative Art by Teaching a Model Many New Concepts at Once and Combining...

Text-to-Image generation using diffusion models has been a hot topic in generative modeling for the past few years. Diffusion models are capable of generating...

Salesforce AI Developed A New Editing Algorithm Called EDICT That Performs Text-To-Image Diffusion Generation With AnĀ InvertibleĀ Process Given Any Existing Diffusion Model

With the recent advancements in technology and the field of Artificial Intelligence, there have been a lot of innovations. Be it text generation using...

Latest Artificial Intelligence (AI) Research Suggests Few-Shot Prompting LLMs May Be More Similar To Fine-Tuning Than Realized

Since the release of OpenAI's ChatGPT, large language models (LLM), neural networks trained on enormous text corpora, and other sorts of data have gained...

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