https://youtu.be/E05tO8ic45E?si=9oBYRCL5G8_Y7QgW Ultimate Guide to Building and Automating with DeepSeek R1 - Game Development, Web Projects & More In this comprehensive tutorial, learn how to utilize DeepSeek R1 to build and automate a variety of projects, from games to websites. Starting with chat.deepseek.com, users can create diverse applications with a single prompt. This video covers running DeepSeek R1 locally via Olama for faster and offline usage, and exploring multiple models for varying performance. Additional tools like Bolt DIY and Make.com are demonstrated for creating useful applications and automating workflows. Discover how to seamlessly integrate DeepSeek R1 into different environments, including browser web UIs for advanced automation. Whether you're developing complex apps or seeking to enhance productivity, this guide provides all the steps and insights needed to master DeepSeek R1.

https://youtu.be/hmtgo5dVm9c?si=1rXVcajylxIL5RZP Discover the incredible Cline v3.2, the latest update to the free autonomous AI coding agent that’s taking development to the next level. Powered by the FREE Sonnet 3.5 API, Cline now features a game-changing Plan/Act toggle that turns it into both an architect and executor, helping you design detailed solutions and execute them with precision!

https://scrimba.com/the-ai-engineer-path-c02v Build apps powered by generative AI - an essential 2024 skill for product teams at startups, agencies, and large corporations. Welcome to the AI Engineer Path This course isn't focused on complex AI research or model training. It's a practical, JavaScript-powered track designed for intermediate and advanced web developers who are eager to use the latest AI tech to elevate their skills. Many experts believe that the "AI Engineer" will be the most sought-after engineering role of the next decade! So by completing this course you'll be positioning yourself at the forefront of technological innovation. Along the way you'll complete many exciting Solo Projects. These are your chance to independently build your own apps, test your new AI knowledge, and gain the muscle memory you need to be a genuinely effective AI Engineer. Are you ready to embark on this thrilling adventure into AI engineering? Let's do this! Course breakdown Discover the following technologies: 1 OpenAI API A powerful tool to build applications that can understand and generate human-like text. 2 HuggingFace The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. 3 Embeddings and vector databases Infuse your apps with specialized knowledge that standard models can only dream of. 4 AI Agents Interact with the world and use AI to solve problems and complete tasks. 5 OpenAI's Assistants API Your trusty sidekick for seamlessly integrating AI models into your apps. 6 Langchain Effortlessly enhance your sites and apps with powerful AI language capabilities, and with a focus on your context.

https://intheworldofai.com/ World of Ai is here to push the creative use of Artificial Intelligence (AI) applications for simple day-to-day tasks!

https://youtu.be/V-Fla5hxMRg?si=XsAX9-1pN31yM0e3 The expected impact hits home ...

https://play.google.com/store/apps/details?id=com.deepseek.chat https://www.deepseek.com/ Introducing DeepSeek LLM, an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community. Useful Links: https://play.google.com/store/apps/details?id=com.deepseek.chat&pcampaignid=web_share https://github.com/deepseek-ai/DeepSeek-Coder https://github.com/deepseek-ai/DeepSeek-LLM

https://lmstudio.ai/ LM Studio is a desktop app for developing and experimenting with LLMs locally on your computer. Key functionality A desktop application for running local LLMs A familiar chat interface Search & download functionality (via Hugging Face 🤗) A local server that can listen on OpenAI-like endpoints Systems for managing local models and configurations

Cline's only probelm thus far has been the rate limiting with the message : API Request Failed 429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your organization’s rate limit of 40,000 input tokens per minute. For details, refer to: https://docs.anthropic.com/en/api/rate-limits; see the response headers for current usage. Please reduce the prompt length or the maximum tokens requested, or try again later. You may also contact sales at https://www.anthropic.com/contact-sales to discuss your options for a rate limit increase."}} Seems to be a issue all around with many suggestions somethat work some that don't and some that work for a while and then crash out again. Have you tried Cline + VS Code ? WHat did you do to deal ith the mess of Rate Limits ?

Some suggestions to deal with the Rate limit crisis ... Useful links: - https://github.com/cline/cline/discussions/871?sort=new - https://github.com/RooVetGit/Roo-Code - https://github.com/cline/cline/issues/923 - https://github.com/cline/cline/issues/713 Useful Solutions to consider: 1. Try 1 api request per minute seems like its not causing anymore 429 error so I think this would be a good idea 2. This issue seems to be related to the amount of context being sent to the API every time. The further you get in a conversation the more context there is, and by default Anthropic imposes a limit of 40,000 tokens up (though it seems like you have 80,000 somehow). One potential fix for this would be to just have Cline auto retry when it gets a rate limit error. 2.1 Another would be to make it so that Cline heavily truncates the amount of context being sent back to the API (I believe Cursor and Windsurf do this). Neither solution is perfect though. Truncating the context leads to far more bad outcomes; while an auto-retry means that you're going to be sitting there and waiting a while for your response. 3. I am not hitting rate limit issues with https://github.com/RooVetGit/Roo-Cline 4. You can use the open router of claude sonnet 3.5. The limit is gone. 5. For how long and how many repeated attemps to edit it? It is collecting context for the whole time. If you ask it to change something 30times in small file it can be hunded or thousands of tokens because the previous context. If I just cut the task into smaller ones i do not hit any limit of course. It looks like a lot of people have absolutely no idea how LLM AI works. 6. For me it is failing inly when I go over 2USD in total price for current task. For several steps it is ok and then it starts limiting, but really if I wait for 5 minutes it is doable (just few times I hit the 200k token limit). 7. I think the best solution is to create a wait/sleep option on cline that when it receives this error, it waits for 60 seconds and try again.

https://vm.tiktok.com/ZMk4t2UkP/