Applied Research
If you’re following my newer X account (https://x.com/TG01_Actual) then you may have seen my post on August 15, 2025 about resigning from my role with Edgile LLC (now a Wipro owned company) to self-fund a new startup: Since this post, I’ve made majors strides in research, design and development of the project, now close to…
Despite the advantages to leveraging the Azure AI Marketplace for some use cases, there are many scenarios in which performing Fine-Tuning, Deep Learning and MLops on your local hardware is preferable to performing the same in the cloud. In my experience, this often includes one or more of the following: Now, my prediction is that…
Read More “Deploying Locally Trained LLM & ML Assets to Azure” »
Retrieval Augmented Generation(RAG) is the method of choice for increasing the output accuracy of Natural Language Processing(NLP), generation-based models. I’m not claiming that this will eliminate your generative model’s chances to hallucinate (as some do), but it does push the the model to retrieve relevant documents or pieces of information from your own corpus, based…