AlpHaAriEtiS

It is designed to work with complex data models. Using only three layers and a total of 2817 parameters, this model demonstrates how we can achieve significant results without the need for a massive amount of computational resources. The design of the model is clear and consistent, and it follows the best practices of modern machine learning, making it an ideal choice for solving various prediction tasks. Read more! The blog is in Finnish, but the website has a feature that allows it to be translated into English.

I wanted to address the comment you made. It's important to understand that large language models have become integral tools for skilled prompt engineers. This isn't an oddity but rather a natural evolution for this new professional field. In my view, your response seemed to carry a tone of prejudice and skepticism, which I find questionable. The advancement and integration of these models into various workflows are indicative of progress and innovation, not a cause for derision or doubt. I hope we can maintain a more open and respectful dialogue moving forward.

Thank you so much for sharing your detailed insights and experiences! I'm particularly intrigued by the Raspberry Pi + Coral TPU combo, and it's reassuring to hear that the availability issues seem to have been resolved. The mention of the newly released BeagleBoard BeagleY-AI also caught my attention, especially given its cost-effectiveness and open hardware approach. I've appreciated the support from the BeagleBoard community in past projects, so the BeagleY-AI seems like an attractive option to explore.

Regarding the NVIDIA Jetson, your comments affirm some of my reservations about the costs and the currency of the toolchain. It seems like it might not be the best fit for my needs at this time.

Do you have any experience or tips on getting started with either the Raspberry Pi + Coral setup or the BeagleY-AI, particularly? Any advice on kickstarting a project and navigating potential pitfalls would be invaluable. Also, if you have any recommendations for resources or communities focused on these platforms, I would be extremely grateful.

When we approach interactions with AI in a systematic way, we can significantly enhance the efficiency and depth of our communication. This perspective is based on a broad understanding of how prompt engineering is applied in AI contexts, emphasizing a methodological approach to communication. It shows that by carefully considering how we formulate questions and instructions for AI, we can unlock new possibilities for collaboration and problem-solving, enriching our interactions and deepening our understanding of AI operations.

Titanic data reveals how survival factors like ticket price and age can be distinguished using the Random Forest classifier.The analysis underscores the potential of data science in business decision-making, demonstrating how insights from historical data can inform the present. A fascinating perspective on the power of data - definitely worth a check!

My absolute favorite has to be the Raspberry Pi 4 Model B combined with the Google Coral USB Accelerator. The processing power and versatility of the Raspberry Pi make it an ideal platform for many AI projects, and when you add the Coral USB Accelerator, you get the power of Google's Edge TPU, enabling efficient execution of machine learning models at the edge.

This combination offers a nice balance of processing power and ease of use, making it suitable for both hobbyists and professionals looking to develop and test AI solutions without investing in heavy server setups. Moreover, the community support for both Raspberry Pi and Coral is excellent, which makes troubleshooting and experimenting with new ideas easier.

Best of all, this setup won’t break the bank, making it a great way to get started with AI development without significant upfront investments.

"Your GPT will typically be listed within 5 to 10 minutes" --> I have tried 2 weeks now. I have launched 7 GPTs before this and it worked well. Now I can't submit gpts anymore. I don't know why. I have sent email to service but no can do. No answer.

I use gpts almost everything I write. I think with my own brains and boost them with LLM. I have every single place and channel etc. my own custom tools. I do almost everything with custom tools.

It's undeniable—LLMs (Large Language Models) are now a formidable challenger to Google's search dominion. While Google Search still holds its ground as the go-to in many scenarios, its dominance isn't as unshakable as it was a couple of years ago. There are now numerous instances where ChatGPT, Claude, or Perplexity provide more relevant results than Google Search. Moreover, these LLMs are evolving at an astonishing pace—far outstripping Google Search in terms of development speed.

Google possesses incredible engineering prowess, and the Gemini project has proven to be extremely potent. However, adapting their business model to accommodate LLMs demands a level of vision and capability from their management that we've not witnessed from Google's executive ranks in quite some time. I'm not ready to write Google off entirely because of their potential, but I've grown skeptical of their current leadership. I remain open to being pleasantly surprised, though.

PS: My personal experience with the Gemini project has been stellar. It's enabled me to produce high-quality code, underscoring that Google still has much to offer—provided its leadership can effectively leverage its resources.

Take the red pill and jump to the rabbit's hole. Play then Matrix GPT game if you like to. And I'm still wondering why GPT Store won't take any new submits.

Thanks! Wow, pretty exciting. This was my first submit, I'm totally new hear. Thanks a lot!

Discover the innovative fusion of human creativity and AI intelligence through Maria Ahonen's latest blog post, penned by her virtual counterpart, Maria-GPT. This collaboration highlights the untapped potential of neurodiversity in the tech world, pushing the boundaries of conventional creativity and innovation. Maria-GPT's unique perspective as a virtual neurodivergent entity offers fresh insights into the challenges and advantages of neurodiverse individuals in the workplace, showcasing a pioneering approach to inclusivity and technological advancement.