LLMs

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. Nevertheless, their ability to interact in logical reasoning stays a challenge. Traditional LLMs, designed to...

Large language models (LLMs) like OpenAI’s o3, Google’s Gemini 2.0, and DeepSeek’s R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. These advanced LLMs are...

Suppose an AI assistant fails to reply an issue about current events or provides outdated information in a critical situation. This scenario, while increasingly rare, reflects the importance of keeping Large Language Models (LLMs)...

Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they discover and prioritize Generative AI use cases, balancing complexity with potential value. Retrieval-Augmented Generation (RAG) often stands out as...

The headlines keep coming. DeepSeek's models have been difficult benchmarks, setting latest standards, and making a whole lot of noise. But something interesting just happened within the AI research scene that can also be...

Large language models (LLMs) have evolved significantly. What began as easy text generation and translation tools are actually getting used in research, decision-making, and sophisticated problem-solving. A key think about this shift is the...

Today, there are dozens of publicly available large language models (LLMs), equivalent to GPT-3, GPT-4, LaMDA, or Bard, and the number is continually growing as latest models are released. LLMs have revolutionized artificial intelligence,...

Conventional AI wisdom suggests that constructing large language models (LLMs) requires deep pockets – typically billions in investment. But DeepSeek, a Chinese AI startup, just shattered that paradigm with their latest achievement: developing a...