​ The 3D computer vision domain was flooded with NeRFs in recent years. They emerged as a groundbreaking technique and enabled the reconstruction and synthesis of novel views of a scene. NeRFs capture and model the underlying geometry and appearance information from a collection of… Read More »You Gotta Pump Those Dimensions: DreamEditor is an AI Model That Edits 3D Scenes Using Text-Prompts Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ 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… Read More »Google AI Open-Sources Flan-T5: A Transformer-Based Language Model That Uses A Text-To-Text Approach For NLP Tasks Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ 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… Read More »This Artificial Intelligence Research Confirms That Transformer-Based Large Language Models Are Computationally Universal When Augmented With An External Memory Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ 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… Read More »A New Artificial Intelligence (AI) Research Approach Presents Prompt-Based In-Context Learning As An Algorithm Learning Problem From A Statistical Perspective Vineet Kumar Artificial Intelligence Category – MarkTechPost

​ 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… Read More »Researchers at Stanford Introduce Parsel: An Artificial Intelligence AI Framework That Enables Automatic Implementation And Validation of Complex Algorithms With Code Large Language Models LLMs Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ ChatGPT has been the talk of the town since the day it has released. Over a million users are already using the revolutionary chatbot for interaction. For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions… Read More »Shaping the Future of Artificial Intelligence AI: The Significance of Prompt Engineering for Progress and Innovation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ 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… Read More »What are Large Language Models (LLMs)? Applications and Types of LLMs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Python NumPy nanmean() function is used to compute the arithmetic mean or average of the array ignoring the NaN value. If the array has a NaN value and we can find out the average without being influenced by the NaN value. The mean/average is… Read More »NumPy nanmean() – Get Mean ignoring NAN Values Vijetha Spark By {Examples}

​ 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… Read More »Eleuther AI Research Group Demonstrate How Classifier-free Guidance (CFG) Can Be Used With LLMs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ 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… Read More »Microsoft Researchers Propose a Novel Framework for LLM Calibration Using Pareto Optimal Self-Supervision without Using Labeled Training Data Aneesh Tickoo Artificial Intelligence Category – MarkTechPost