Top Trending LinkedIn Posts about language models

"Language models have traditionally been trained using online texts from sources such as Wikipedia, news stories, scientific papers and novels. However, in recent

Language models have traditionally been trained in two ways: broadly imitating patterns from diverse online data, or narrowly on curated datasets for specific

*Language Models - A Journey from Hype to [almost] Harmonization*
Sixteen months ago, the introduction of ChatGPT marked a pivotal moment in the

Language Models as Compilers: Enhancing Algorithmic Reasoning with THINK-AND-EXECUTE!

A new framework called THINK-AND-EXECUTE promises to revolutionize the way large language models (LLMs) approach

Language Models as Compilers: Enhancing Algorithmic Reasoning with THINK-AND-EXECUTE!

A new framework called THINK-AND-EXECUTE promises to revolutionize the way large language models (LLMs) approach

Language models like GPT-4 are good tools for tackling business challenges. Yet, one aspect that often slips under the radar is cost (not

Language models like GPT-4 are good tools for tackling business challenges. Yet, one aspect that often slips under the radar is cost (not

Anthropic just released a new hands-on course covering tool use and AI agents as part of a new series for LLM builders, and

Anthropic just released a new hands-on course covering tool use and AI agents as part of a new series for LLM builders, and

Large Language Models (LLMs) are pivotal in artificial intelligence for their generative powers and adeptness in following complex instructions, making them perfect for

𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗔 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗧𝗮𝘅𝗼𝗻𝗼𝗺𝘆 𝗙𝗼𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴

𝘉𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘪𝘯𝘨 𝘱𝘳𝘰𝘮𝘱𝘵𝘴 𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘴 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘴 𝘥𝘶𝘦 𝘵𝘰 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦𝘴 𝘪𝘯 𝘵𝘩𝘦𝘪𝘳 𝘶𝘴𝘢𝘨𝘦, 𝘭𝘦𝘷𝘦𝘭 𝘰𝘧 𝘥𝘦𝘵𝘢𝘪𝘭, 𝘴𝘵𝘺𝘭𝘦, 𝘢𝘯𝘥 𝘱𝘶𝘳𝘱𝘰𝘴𝘦.

𝘈

Large Language Models (LLMs) are proficient in tasks such as Q&A and text summarization, and significant research is dedicated to enhancing their capabilities

Large Language Models can't do anything without human intervention. Therefore, humans are necessary. Is this true?

There are speculations that Large Language

Large language models like ChatGPT can sometimes stumble. Just the other day, I asked it for sources on some answers, and it gave

𝓛𝓪𝓻𝓰𝓮 𝓛𝓪𝓷𝓰𝓾𝓪𝓰𝓮 𝓜𝓸𝓭𝓮𝓵𝓼: 𝓐𝓹𝓹𝓵𝓲𝓬𝓪𝓽𝓲𝓸𝓷 𝓽𝓱𝓻𝓸𝓾𝓰𝓱 𝓟𝓻𝓸𝓭𝓾𝓬𝓽𝓲𝓸𝓷:

This course is your gateway to creating and deploying Large Language Models (LLMs). It is intended for technical

Large Language Models (LLMs) typically struggle with numerical, time series, and spatio-temporal data. However, we've overcome these challenges in our banking sector projects

Large Language Models (LLMs) typically struggle with numerical, time series, and spatio-temporal data. However, we've overcome these challenges in our banking sector projects

Small Language Models and Arcee.ai on Bloomberg News 😎 It is great to hear Rachel Metz mention our customer Guild.

Bloomberg subscribers can also

𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭 🤖

This visual guide offers a clear overview of the capabilities and evolution of various LLMs: OpenAI Meta Google

Large Language Models (LLMs) like GPT-4 can struggle with domain-specific queries, often hallucinating when data is insufficient.

Retrieval-Augmented Generation (RAG) helps by integrating

If you are wondering why LLMs do poorly on the task of "counting the number of r's in the word strawberry", it's entirely

Large Language Models (LLMs) are as effective as the data they are trained on and how they are fine-tuned. While fine-tuning can adjust

Large language models can memorize and repeat their training data, causing privacy and copyright risks.

Researchers from the University of Maryland and other institutions

Large language models (LLM) will change how software engineers write code forever.

Last weekend, I built a side project using Cursor, an LLM-based IDE,

Large Language Models (LLMs) are as effective as the data they are trained on and how they are fine-tuned. While fine-tuning can adjust

Small Language Models

Great survey on small language models (SLMs) across architectures, training datasets, and training algorithms.

Analyzes 59 state-of-the-art open-source SLMs and capabilities

Small Language Models

Great survey on small language models (SLMs) across architectures, training datasets, and training algorithms.

Analyzes 59 state-of-the-art open-source SLMs and capabilities

Large language models like ChatGPT cannot learn independently or acquire new skills, meaning they pose no existential threat to humanity

🌐 Large Language Models (LLMs): Transforming the Future of AI

The rise of large language models (LLMs), like GPT-4 and beyond, has been one of the

Large Language Models (LLMs) are like powerful tools, but with great power comes great responsibility! 🦸‍♂️ To make the most of LLMs and