Our Real Struggle: Rising Against the GPU Crisis
2 min read 490

Our Real Struggle: Rising Against the GPU Crisis

The GPU shortage has not only affected individual consumers, but also businesses that rely on these components to power their operations. We want to bring awareness to this issue and examine the impact of the shortage on small and medium businesses like ours and our customers and to reassure you that we are still committed to the businesses we work with despite this setback.

By TomHeiber 10/10/2023
HeitechSoft's Falcon-7B Fine-Tuned Model Paves the Way for Advanced AI Chatbots
2 Minutes read 2134

HeitechSoft's Falcon-7B Fine-Tuned Model Paves the Way for Advanced AI Chatbots

Heitech Software Solutions (HeitechSoft) has achieved a major milestone with the publishing of their first AI model, finely tuned based on the Falcon-7B foundation model and the Stanford Alpaca dataset. This model marks an important step in HeitechSoft's roadmap towards offering AI-driven support and sales chatbots as a service to clients.

By TomHeiber 7/3/2023
Demystifying Hyperparameters: Fine-tuning the Power of Large Language Models (LLM’s)
5 Minutes read 895

Demystifying Hyperparameters: Fine-tuning the Power of Large Language Models (LLM’s)

Explore the world of large language models (LLMs) and their optimization in Heitech Software Solutions' latest e-book, "Demystifying Hyperparameters: Fine-tuning the Power of Large Language Models". This comprehensive guide unpacks the essentials of tuning hyperparameters, providing detailed insights on key parameters like 'Learning Rate', 'Batch Size', 'Dropout Rate', and more. An invaluable resource for both budding and experienced AI enthusiasts, this e-book empowers you to effectively tailor your AI models for optimal performance. Learn more and download your copy today.

By TomHeiber 6/20/2023
Unlocking the Power of AI on Consumer Hardware - State of Local AI, May 2023
5 Minutes read 918

Unlocking the Power of AI on Consumer Hardware - State of Local AI, May 2023

The post explores the power and limitations of using local AI models on consumer-grade hardware, focusing on the capabilities of various open-source models, the significance of model size and context size, and the importance of maintaining AI neutrality. It concludes by outlining future plans for model fine-tuning, memory storage integration, and the exploration of text-to-speech models.

By TomHeiber 5/24/2023