Skip to content

any-agent + Tavily for Building Smart Search Agents

In the modern world of AI agents, one of the main challenges is access to up-to-date information. Most language models are trained on data with a specific cutoff date and cannot provide information about recent… 

💻 Local Models and Foundry Local

Local models are great because, after the first download, you can use them anywhere — no internet required. Everything you work with stays on your device, and no “big brother” sees your data or queries.… 

Scenario for Gemini CLI: Conway’s Game of Life.

In This Article Scenario for Gemini CLI: Game of LifeStep 1: Creating a system instruction GEMINI.mdlife-create-code.mdlife-create-test.mdlife-create-doc.mdStep 2: Creating the “Game of Life” codeStep 3: Creating testsStep 4: Creating documentationScenario for Gemini CLI: Game of Life… 

будущее за «маленькими» нейросетями

The End of Giantism in Large Language Models

We are used to thinking that in the world of artificial intelligence, size matters. Giant language models (LLMs), like the ones behind ChatGPT, capture the imagination with their ability to write poetry, generate code, and… 

Personalizing LLMs: prompts, fine-tuning models, code examples.

LLM personalization can be achieved in different ways: from carefully crafted prompts and context management to fine-tuning on your own datasets. Fine-tuning helps solidify the model’s style, terminology, and response format, while also improving accuracy…