AI & LLM’s

RAG Retrieval-Augmented Generation

RAG: Enriching Language Models with Information Retrieval

AI & LLM's /

Retrieval Augmented Generation (RAG) is an innovative methodology. It merges language modeling with document-searching methods. Also, it extends the traditional ways of language models. It does this by employing a generative language model. The model looks into a vast corpus of documents for pertinent information. This process happens before generating a response. In essence, RAG […]

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Advanced productivity tools - Excel VBA quality of a dataset

Quality of a dataset and the success of AI-powered App

AI & LLM's /

The quality of a dataset used to train large language models stands at the heart of their performance. It’s a crucial aspect, often associated with the saying “Garbage in, garbage out.” This essentially means that poor-quality training data culminates in less effective models. For large language models, the dataset is similar to their nourishment. High-quality

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AI Assistants

Revolutionizing AI Assistants: Leveraging Fine-tuning in Positive Doo’s Digital Transformation Journey

AI & LLM's /

We are Revolutionizing AI Assistants. Fine-tuning is a tech breakthrough for language models like GPT-3.5 Turbo. The process offers developers the power to customize models, enhancing performance for specific use cases. Importantly, this process can be executed at scale. OpenAI’s latest update has shown notable fruition. A fine-tuned version of GPT-3.5 Turbo can match, or

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