AI & Robotics Lab
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Explore AI code generation, robotics, and ROS with original projects and hands-on guides. Follow along as I share my experience, code samples, and tips for building intelligent systems.
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Salesforce: We don't need any more software engineers this year...
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πŸ“’ Use Mistral's Latest Coding Model for Free in Your Work!

Recently, Mistral announced their newest code-specific LLM - Codestral 25.01. The best part? You can get an API key absolutely free and start using it right away in popular tools like VS Code through Continue - one of the most popular AI coding assistants!

Get instant code suggestions, explanations, and completions right in your editor. πŸš€

#FreeTool
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πŸ€– Playing with Codestral Model API via Postman πŸ› 

Now that we have access to the Codestral Model API, let's explore it using REST API requests to see how it responds to different parameters! For this purpose, I recommend using Postman - a free tool that provides convenient features for working with APIs πŸ”§

πŸš€ Getting Started:
- Create a workspace in Postman
- Create a collection inside it to store your requests

πŸ”Œ Available Endpoints:
- Fill-in-the-middle: https://codestral.mistral.ai/v1/fim/completions
- Chat: https://codestral.mistral.ai/v1/chat/completions

πŸ’» Let's experiment with the chat endpoint using a POST request. We'll modify the parameters from the API docs to focus on a coding task: generating a function to calculate Fibonacci numbers.

πŸ”‘ Authorization: For authorization, you'll need a Codestral API key (see my previous post for instructions on obtaining one). Pro tip: store such sensitive data in variables!

βš™οΈ Testing: After sending the modified request, you can observe the model's response. All model parameters are customizable to fine-tune the output.

API documentation

#CodestralAPI #Tutorial
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🌟 Mind-blowing Magic of Modern LLM Image Recognition! 🌟

I've found Claude 3.5 Sonnet by Anthropic to be very effective for my daily tasks.

Pro Tips: πŸ“± Not familiar with a new app/website? Just take a screenshot and ask about your questions! πŸ’» Debugging troubles? Snap your IDE screen and ask what's wrong! ⚑️ Struggling with bash? No need for explanations - just share the screenshot, and the AI often understands the issue instantly!

It's truly impressive how these tools are transforming our approach to problem-solving. We're living in fascinating times! ✨
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πŸ€– Why Learn Programming in the AI Era?

Yes, AI can write code as well as humans now. We can simply copy-paste its solutions and problem is done! But is this the way we want to go?

πŸ‘‹ Here's the smarter way:
β€’ Programming itself is a creative journey that trains your brain and brings satisfaction.
β€’ Understanding code lets you collaborate with AI effectively - you can discuss approaches, evaluate solutions, and guide the AI toward better results.

πŸ’ͺ With coding knowledge, you can:
β€’ customize AI-generated solutions,
β€’ spot potential issues,
β€’ break down complex problems,
β€’ make informed architectural decisions.

Think of AI as your smart coding buddy! It can help you level up from a regular developer to a tech architect - it's a unique opportunity that's only possible today. But to seize it, you need to be at your best and keep growing your skills!πŸš€

We should be the ones who direct AI, not the ones who blindly follow it. What do you think?

#Programming #AI #CodingLife #TechEducation
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ROS2 Nodes Factory

I'm excited to share a project I've been working on recently: a ROS2 nodes factory! πŸ› 

After taking a short break from my regular posts, I've been focused on developing a framework that can automatically generate ROS2 components using AI. The project, called Codestral ROS2 Generator, is now available on my GitHub page.

⚠️ What makes this project special?

The framework follows a "test-driven coding" philosophy - you simply define your ROS2 interfaces and write tests for how your node should behave. Then the generator, powered here by Mistral's Codestral latest model, creates code that satisfies those requirements.

For example, I've included a working implementation of a service that calculates object height (remember my previous experiments with this). The generator was able to create a fully functional ROS2 service node that passes all 14 tests.

πŸš€ Getting started

πŸ““Project's README and Example instruction explain how to setup and use the generator - you can try it in action.
πŸ“” The documentation explains the system architecture and guides you through creating custom ROS2 nodes for your specific needs.

The project integrates with Mistral AI's powerful Codestral model to understand ROS2 concepts and generate appropriate code. While my previously described method for getting Codestral API keys is not supported yet, you can obtain a free experimental key from the API Keys section of La Plateforme, which works perfectly with this project (also it allows to try any other Mistral models).

🀝 Contributions welcome

I'd love to collaborate with anyone interested in improving this framework. Whether you want to add support for more ROS2 components, improve the code generation, or enhance the examples, contributions are very welcome!

Happy generating! Let me know if you try it out!

#ROS #Codestral #CodeGenerating
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AI & Robotics Lab pinned Β«ROS2 Nodes Factory I'm excited to share a project I've been working on recently: a ROS2 nodes factory! πŸ›  After taking a short break from my regular posts, I've been focused on developing a framework that can automatically generate ROS2 components using…»
Codestral ROS2 Generator tech description.

πŸ‘‹ I've just published a detailed technical overview in Russian of my Codestral ROS2 Generator project - an AI-powered solution that automatically generates ROS2 components (nodes, services, actions) using the Codestral model.

πŸ’‘The article covers:
- Complete project architecture.
- Key classes and their interactions.
- The generation workflow from prompt to tested code.
- Performance metrics and evaluation.

Check out the full technical breakdown on my blog: Let's Go Design

#CodeGenerating #ROS #Codestral
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We'll see...
Forwarded from AI Post β€” Artificial Intelligence
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"By 2027... AI will be autonomous enough to replicate a software engineer's job."

Replit CEO Amjad Masad discusses AI agents mastering software engineering. SWE-bench shows rapid progress: from GPT-3 (22%) to Anthropic's latest (~70%) today. Benchmark saturation by 2027 suggests AI autonomy in coding.

He predicts AI agents will be able to build 20% of SaaS within a year.

@aipost πŸͺ™ | Our X πŸ₯‡
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Forecasts are getting more and more optimistic πŸ€”
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Anthropic CEO, Dario Amodei

AI coding capabilities will reach a "very serious" level by the end of 2025 β€” and may match the best human coders by late 2026

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Forwarded from AI Post β€” Artificial Intelligence
🚨 Google just dropped open-source SOTA

Google Gemma 3 is beating o1-preview and o3-mini-high and it's only 27B parameters. The second-best open model, only behind DeepSeek-R1

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Is Humanity Getting Dumber? @Science Says Yes

A recent study confirms a concerning trend: global intelligence levels have been declining since 2010. Researchers have found that many people struggle to focus on a single task, lose logical thinking skills, and spend excessive time on their smartphones.

Here are some key findings:

πŸ”’ 25% of adults in developed countries cannot solve basic math problems, with this figure rising to 35% in the U.S.
πŸ§‘β€πŸŽ“ Since 2015, there has been a sharp increase in 18-year-olds struggling to concentrate on a single topic.
πŸ“– In 2022, half of those surveyed read no more than one book, while 45% of teenagers did not read at all.

The culprit? The way we consume information has changed. Social media, with its endless feeds and algorithm-driven content, overloads the brain, making it harder to seek out and process valuable information. Instead, people get stuck in an endless loop of low-value content consumption.

πŸ’‘ The good news?
The brain remains highly adaptableβ€”with effort, it’s possible to regain focus and sharpen critical thinking skills.

Time to take control of our attention!
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I've been disappointed numerous times with highly-ranked models like Qwen that excel in benchmarks but underperform on real tasks. These benchmarks have started to feel like marketing toolsβ€”ways to generate hype with impressive tables and graphs rather than demonstrate genuine capability.What matters is genuine expertise. Human experts have credentialsβ€”education, years of field experience, common senseβ€”and accountability for their decisions. But what about AI models? Sure, they can assist, but can we really trust them with complex real-world problems without human oversight? Will we ever truly believe in their "expertise"?My experience so far suggests cautionβ€”don't rely too heavily on AI advice. I'm curious to see how this evolves over time. πŸ€”
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Forwarded from AI Post β€” Artificial Intelligence
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πŸ—£οΈ "The notion of model intelligence, performance on a benchmark as a single number doesn't really even make sense anymore."

OpenAI's Noam Brown argues that benchmarks are becoming irrelevant because reasoning AI can always achieve higher scores simply by thinking longer. Think of model intelligence as a performance-versus-cost curve. The real value lies in AI surpassing human capabilities, making its cost compared to human expertise the key metric, not AI-to-AI comparisons. Ultimately, advanced reasoning AI is "dirt cheap" compared to a top human doing the same work.

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