Статьи об ИИ

MatMul-free language models are large language models that replace matrix multiplication with simpler operations to reduce computational costs.

Compare LangChain and LlamaIndex to discover their unique strengths, key features, and best use cases for NLP applications powered by large language models.

We take a grounded look at the applications of AI in the banking industry: credit risk modeling, fraud detection, customer churn, and customer service bots. Discussing the challenges faced in these areas reveals why the progress of AI in this industry may be slowed.

Explore how text embeddings work, their evolution, key applications, and top models, providing essential insights for both aspiring & junior data practitioners.

The Artificial Intelligence (AI) development surge has created a notable increase in computing demands, driving the necessity for robust hardware solutions. Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) have emerged as pivotal technologies in addressing these demands.

Codestral is Mistral AI's first open-weight generative AI model designed for code generation tasks, automating code completion, generation, and testing across multiple languages.

Reinforcement learning from AI feedback (RLAIF) leverages AI models to provide feedback during LLM training, enhancing performance and scalability.

Learn about transfer learning, fine-tuning, and their foundational roles in machine learning and generative AI.

Discover the most popular AI conferences and events scheduled in 2026.

Explore the key takeaways from the 2024 State of Data & AI Literacy report, including key statistics and opinions from data & AI thought leaders

Learn about OpenAI’s GPT-4o, a multimodal AI model that processes text, audio, and visual data, and discover how it compares with GPT-4 Turbo for various use cases.

AI Ethics is the field that studies how to develop and use artificial intelligence in a way that is fair, accountable, transparent, and respects human values.