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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

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Build Powerful Chat Assistant for PDFs and Articles Without OpenAI Key

Analytics Vidhya

Introduction The world of Natural Language Processing is expanding tremendously, especially with the birth of large language models, which have revolutionized this field and made it accessible to everyone.

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The Full Story of Large Language Models and RLHF

AssemblyAI

A New Era of Language Intelligence At its essence, ChatGPT belongs to a class of AI systems called Large Language Models , which can perform an outstanding variety of cognitive tasks involving natural language. From Language Models to Large Language Models How good can a language model become?

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Role Of Transformers in NLP – How are Large Language Models (LLMs) Trained Using Transformers?

Marktechpost

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. The introduction of the transformer architecture has provided a new paradigm for building models that understand and generate human language with unprecedented accuracy and fluency.

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Small and Large Language Models: Balancing Precision, Efficiency, and Power in the Evolving Landscape of Natural Language Processing

Marktechpost

Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning.

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Small But Mighty: Small Language Models Breakthroughs in the Era of Dominant Large Language Models

Unite.AI

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.