AI Research Algorithm Deep Learning Large Language Models 
Unite.AI
OCTOBER 18, 2023
Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.
Marktechpost
OCTOBER 28, 2023
Large Language Models (LLMs) are great at high-level planning but need to help master low-level tasks like pen spinning. Reward design in reinforcement learning often relies on time-consuming trial and error. EUREKA also enables in-context learning from human feedback, enhancing reward quality and safety.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Marktechpost
DECEMBER 13, 2023
Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. This makes sure that the prompts’ semantic integrity is preserved even at large compression ratios. If you like our work, you will love our newsletter.
JULY 10, 2023
LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate natural language. LLMs are trained on massive amounts of data, often billions of words, to develop a broad understanding of language.
Marktechpost
JULY 4, 2023
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.
Marktechpost
JANUARY 4, 2024
With the widespread adoption of Large Language Models (LLMs), the quest for efficient ways to run these models on consumer hardware has gained prominence. One promising strategy involves using sparse mixture-of-experts (MoE) architectures, where only selected model layers are active for a given input.
Marktechpost
JULY 4, 2023
The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). In-context learning and chain-of-thought prompting are two other major discoveries that have significantly improved the accuracy of the models.
Expert insights. Personalized for you.
290 
Let's personalize your content