HeitechSoft's Falcon-7B Fine-Tuned Model Paves the Way for Advanced AI Chatbots
2 Minutes read 1926

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
Outsource to AI: Empowering Business Growth and Personal Focus
20 Minutes read 2110

Outsource to AI: Empowering Business Growth and Personal Focus

In this video we're demystifying AI jargon and exploring its current state and potential future. We examine practical applications, ranging from email summarization to HR tasks, and illustrate the potential of tools like ChatGPT to streamline business processes like hiring.

By TomHeiber 6/22/2023
Demystifying Hyperparameters: Fine-tuning the Power of Large Language Models (LLM’s)
5 Minutes read 701

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 706

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