Статьи об ИИ

Ace your AI interview with our comprehensive guide. Explore technical and scenario-based questions and answers to increase confidence and unlock your potential.

Explore the world of AI programming languages in this beginner-friendly guide. Learn about the top languages, their uses in AI, main packages, the roles that rely on them and resources to get you started.

Discover the features of Runway Gen-3 alpha, the latest advancement in generative AI. Explore its cinematic, high-resolution video capabilities and more.

Claude 3.5 Sonnet outperforms GPT-4o and Gemini Pro 1.5 in several benchmarks and introduces a cool new feature: Artifacts.

Discover the best AI bootcamps to accelerate your career in artificial intelligence. Explore top programs and learn about DataCamp's flexible alternatives.

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.