Gemini 1.5 Pro now comes with 2M context tokens. For context, GPT4 has 128K. What it means: 1️⃣ You can now put more data into your context window thereby increasing your output accuracy, all else being equal 2️⃣ At a text input price of USD0.70/1M tokens, this means a single prompt on Gemini 1.5 Pro could set you back by up to USD1.40, not including any output response Is there a way to optimise accuracy and cost? One way is to use context caching offered by Gemini (but not available on other LLM, such as GPT4o), which may reduce the price to pay under certain conditions (not all, yeah, it’s a bit complicated). Another way is to use RAG, which is applicable to all LLM, but its implementation is highly skill-dependent. Finally, and probably the easiest way, is to engage a professional and watch them do the magic, because a GenAI solution, when well-designed and well-developed, works like magic.
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Google has announced the availability of a 2 million token context window for their Gemini 1.5 Pro AI model - enabling the model to work on even longer inp t - and additionally the availability of smaller Gemma 2 models https://lnkd.in/e_fwNYrD. #google #gemini #gemma2 #generativeai #largelanguagemodel #artificialintelligence
Gemini 1.5 Pro 2M context window, code execution capabilities, and Gemma 2 are available today
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Exciting updates for developers! Check out the new features for the Gemini API and Google AI Studio, designed to enhance your AI projects and streamline development. Unlock powerful tools and capabilities to take your applications to the next level! Read more: https://bit.ly/4bAVyjc #GoogleAI #GeminiAPI #AIDevelopment #DeveloperTools
Gemini 1.5 Pro 2M context window, code execution capabilities, and Gemma 2 are available today
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Tool of the day AirOps: on Ai Jumble-Building a thriving AI community. Unlock Growth with AI-Powered Workflows! 🚀 Design and expand integrated workflows using cutting-edge AI models like GPT-4-turbo, DALLE-3, and Claude 2. Start swiftly with customizable templates, fine-tune your prompts, and experiment with diverse models from OpenAI, Anthropic, and Meta to elevate your solutions. Build, test, and launch your v1 solution in under 10 minutes—combine prompts, data, code, and APIs visually for the perfect outcome. Elevate your AI's capabilities with managed Memory Stores, effortlessly setting up and maintaining your document libraries and data connections. Elevate your AirOps Apps to the next level! https://bit.ly/4abbHMO Join Ai Jumble-Building a thriving AI community,-for more exciting #ai tools #AIWorkflows #IntegratedAI #GrowthHacking #AISolutions
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Head of Artificial Intelligence at Squaredev | MSc Applied Economics & Data Analysis | Patras AI meetup co-organizer | Medium writer
I have some exiting news to share! 🎉 Following my recent release of the 'streamlit-token-craft' library, as I promised I share my latest contribution: a comprehensive tutorial now live on my Medium account in Towards AI! Read the full article here: https://lnkd.in/dxF7-kTz Stay tuned for more updates, and let's keep pushing the boundaries of open-source development! #streamlit #opensource #customcomponent #development
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I just published a free Gemini AI web course. Check out the videos and learn how to build a predictive support functionality! https://lnkd.in/guheB4Y4 #javascript #ai
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🏗 In a nutshell, this article teaches you how to use Vercel's V0.dev clone project to level up your AI skills. From using Next.js to CopilotKit, this tutorial is like training wheels for an AI motorcycle - start your engines! 💌 Subscribe to get fresh news every day: https://0xcafe.news Author: Ekemini Samuel
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