Gemini 2.5 Flash - Hybrid Reasoning on Demand скачать в хорошем качестве

Gemini 2.5 Flash - Hybrid Reasoning on Demand

In this video, we will look at the Gemini 2.5 Flash which is the first Hybrid Reasoning model where you can literally toggle “thinking” on or off. I break down its insane cost‑performance ratio, 1 M‑token context window, and how it stacks up against GPT‑4 Mini and Claude Sonnet. LINK: https://aistudio.google.com/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/c... Let's Connect: 🦾 Discord:   / discord   ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon:   / promptengineering   💼Consulting: https://calendly.com/engineerprompt/c... 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 In this episode, we explore Google's release of the Gemini 2.5 Flash, a groundbreaking hybrid reasoning model. This model allows developers to toggle the 'thinking' mode and set a token-based thinking budget, making it versatile for different tasks. Notably, Gemini 2.5 Flash offers highly competitive pricing and outstanding performance-to-cost ratios compared to other models like OpenAI's 3.5 Sonnet and 4 Mini. We'll also discuss the model's benchmarks, features, and potential impact on AI development, ensuring you have all the details to make an informed choice. 00:00 Introduction to Google's Gemini 2.5 Flash 00:04 Hybrid Reasoning Model: A New Feature 00:41 Competitive Pricing and Market Position 01:16 Benchmark Performance and Comparisons 02:17 Google's Strategy: Performance to Cost Ratio 05:14 Fine-Grained Control Over Thinking Mode 09:51 Testing the Model: Practical Examples 12:37 Conclusion and Final Thoughts