
Domain-Specific AI: From-Scratch Training vs. Fine-Tuned RAG Models
Building from Scratch vs. Fine-Tuning RAG: A Pragmatic Showdown in the Vertical The allure of…
Building from Scratch vs. Fine-Tuning RAG: A Pragmatic Showdown in the Vertical The allure of training a custom AI agent from scratch for a specific domain is undeniable. It whispers promises of perfect alignment with your needs, a bespoke solution tailored to your unique data. But the reality, as with most things in AI, is…
Enhancing Language Models with Retrieval-Augmented Generation and Semantic Caching In the ever-evolving landscape of natural language processing (NLP), the ability to generate human-like text has seen remarkable advancements, particularly with the advent of large language models (LLMs) like GPT-3. However, these models, despite their prowess, often face limitations in generating responses based on up-to-date or…
IntroductionMistral 7B is a cutting-edge 7.3 billion parameter open-source language model that has showcased remarkable performance on various natural language processing tasks. In this article, we will explore how to harness the power of Mistral 7B by walking you through the process of accessing the model, running inference, quantizing it for efficient usage, fine-tuning it…
Training Your LLM to Speak Your Industry’s Language Hey there, AI enthusiasts! Today, we’ll dive into vertical training, a powerful technique to supercharge your AI agent for specific tasks. Imagine training a customer service bot that understands your industry jargon and solves problems specific to your business. Vertical training makes this a reality! The era…
Large language models (LLMs) have taken the world by storm, revolutionizing how we interact with and leverage natural language processing (NLP) technologies. At the heart of these linguistic behemoths lies the transformer architecture, a groundbreaking deep learning model that has become the de facto standard for state-of-the-art NLP tasks. The transformer architectures used in modern…
Scalable agile development approaches are now widely used in modern software engineering, enabling businesses to improve teamwork, productivity and product quality. Incorporating AI into scalable agile development methods (SADM) has emerged as a potential strategy to meet the ongoing demand for simplified procedures and the growing complexity of software projects. The MyCTO team explores the…
Process Reengineering. Business process reengineering through AI automation is a significant market trend. This method involves critical rethinking and radical redesign of business processes to achieve dramatic improvements in critical performance measures such as cost, quality, service and speed. Integrating AI into this reengineering process allows companies to reengineer processes to be more efficient and…
LLMs are increasingly being used in software development to automate tasks and improve productivity. Here are some of the key use cases for LLMs in software development: 1. Automated code generation: LLMs can be used to generate code snippets, classes, and functions based on natural language descriptions. This can save developers time and effort, and it…
Learn How Intelligent Document Processing Can Revolutionize Your Workflow, Saving You Time, Effort, and Resources. Do you spend hours every day manually processing documents? Or are you finding that your work is at a standstill until your data processing team reviews the data extracted from OCR? If so, you’re not alone. Businesses, regardless of size,…
Big data consulting as a service (BCSaaS) is a comprehensive offering that assists businesses in utilizing big data to obtain valuable insights and make informed decisions. MyCTO provides a variety of BCSaaS services, including data collection and preparation, analysis, and modeling, to aid organizations in transforming their data into actionable intelligence. Benefits of BCSaaS from…