A Step-by-Step Guide to Custom Fine-Tuning with ChatGPT’s API using a Custom Dataset

Table Of Contents Introduction Pros and Cons of Using a Pre-trained Language Model (LLM) for Custom Fine-Tuning Final Thoughts Introduction Fine-tuning OpenAI’s ChatGPT with a custom dataset allows you to tailor the model to specific tasks or industries. This step-by-step guide will walk you through the process of custom fine-tuning using ChatGPT’s API and a … Continue reading A Step-by-Step Guide to Custom Fine-Tuning with ChatGPT’s API using a Custom Dataset

Inside the Minds of Generative AI: Exploring the Training Corpora of ChatGPT 4 and Gemini

Table Of Contents ChatGPT 4: Broad Training Corpus Gemini: Curated Training Corpus How to choose? Final Thoughts In the ever-evolving world of large language models (LLMs), two titans stand tall: ChatGPT 4 and Gemini. Both push the boundaries of linguistic mastery, but beneath their articulate surfaces lie distinct foundations – their training corpora. To truly … Continue reading Inside the Minds of Generative AI: Exploring the Training Corpora of ChatGPT 4 and Gemini

Titans of Text-AI: A Comparison of Google’s Gemini and ChatGPT 4

Table Of Contents Introduction Multimodal Mastery Performance Reasoning and Problem-Solving Safety and Alignment Accessibility and Availability Final Thoughts Introduction The landscape of language models is rapidly evolving, with each new iteration pushing the boundaries of what’s possible. Recently, Google’s Gemini and OpenAI’s ChatGPT 4 have emerged as frontrunners, sparking debate over which is the true … Continue reading Titans of Text-AI: A Comparison of Google’s Gemini and ChatGPT 4