Latest blog posts by Krzysztof Kacprzak

Discover how customizing Large Language Models (LLMs) on proprietary data can enhance business operations, improve efficiency, and provide a competitive edge.

Cohere vs GPT-4 compared: model architectures, capabilities, real-world applications across industries and the ethical questions around deploying each.

Explore ChatGPT's impact on software engineering, from code generation to workflow optimization, highlighting strengths, challenges, and future possibilities.

Taking an LLM from prototype to production in phases: strategic planning, early testing, validation, and scaling, with practical advice for business teams.

RoBERTa and GPT-4 differ in architecture, training objectives and use cases. See where each language model fits, from text classification to generation.

RoBERTa vs BERT compared: see how their architecture, training, and performance differ, and which transformer model fits your NLP project best.

Explore the pros and cons of open and closed source LLMs, comparing flexibility, customization, resources, and transparency for AI project implementation.

LLMs bring new privacy and data security risks, from data leakage to bias. How tokenization, differential privacy, and secure handling protect your data.