Asif Razzaq’s Post

The course on “Build Your Own GPTs” addresses the GPT structure, data preprocessing for training and testing models, performance enhancement techniques, fine-tuning evaluation, deployment in applications as well as ethical considerations in developing custom GPT models. The tool is a comprehensive guide to enable learners to develop and deploy AI models responsibly. link:https://lnkd.in/g5GbDUAH

Enterprise AI’s Weak Link This weak link affects basic machine learning (ML) and the newer GPT and LLMs. In fact, it impacts virtually every attempt to process and utilize unstructured text – from taxonomy and knowledge graph building to search and auto-tagging and customer and business intelligence. The culprit? Poor and inaccurate training sets (actually any set of targeted documents). By not paying enough attention to the many pitfalls involved in selecting documents to train your LLM or auto-tagging or search application, you diminish the quality of any applications you build. To learn more about what those pitfalls are and how to overcome them, please check the most recent blog by Tom Reamy, Enterprise AI's Weak Link - KAPS Group in his series on what is smarter and safer than LLM/GPT.

Say goodbye to tedious manual data entry tasks, thanks to the revolutionary GIA Docs. This cutting-edge technology eliminates the need for laborious manual input by automating the extraction of data from various documents. #ai #data #language #deeplearning #giadocs #chatgpt #nlp #naturallanguageprocessing #multilingual #documentmanagement https://lnkd.in/gYtqnEVM

Achieve 99%+ Accuracy – Scale Up Globally with Confidence. GIA Docs is an advanced AI-powered language model that offers document extraction and analysis capabilities with an accuracy rate of over 99%, making it an ideal tool for businesses looking to scale up globally with confidence. #ai #data #language #deeplearning #giadocs #chatgpt #nlp #naturallanguageprocessing #multilingual #documentmanagement Veena Gundavelli, Dexter Peavy, Brian Shappell, CBF, Terry Jordan https://lnkd.in/gYtqnEVM

Drive efficiency by eliminating tedious, manual data entry tasks with the revolutionary GiaDocs. Automating the extraction of data from various types of documents reduces costs and the high risk of human errors.  #ai #data #language #deeplearning #giadocs #chatgpt #nlp #naturallanguageprocessing #multilingual #documentmanagement Veena Gundavelli, Terry Jordan, Brian Shappell, CBF, Dexter Peavy https://lnkd.in/gYtqnEVM

Artificial Intelligence - What does the “thought tree” communication technique used in “Prompt Engineering” mean? It involves strategically designing instructions, called prompts, to guide machine learning models such as GPT-4. The goal is to generate specific responses or accomplish specific tasks. Connections : https://lnkd.in/ezesX-ZH Communication Techniques with Large Artificial Intelligence Models

🙄 Understanding Image Annotation and its Significance in Machine Learning ⚠ Image annotation involves the procedure wherein a computer system assigns descriptive information, such as keywords or captions, to a digital image. Data labelers employ metadata or tags to recognize the characteristics of the data that you wish your AI model to comprehend. Subsequently, these tagged images are employed to educate the computer in recognizing these characteristics when confronted with unlabeled data. 📣 Read the blog : https://lnkd.in/d_qFRuPM

Can you imagine how powerful an AI Agent with long term memory will be? What if AI Agents can keep learning and improving its workflow and skills through external feedback? And they can retrieve the information whenever needed from its database. We can train agents to develop long-term memory similar to how humans acquire new skills and knowledge. This process begins by focusing on the desired learning content and reinforcing it through repetition to embed it in our memory. Subsequently, we can retrieve this knowledge when needed. However, if it remains unused for an extended period, we risk forgetting it. This will not be a problem for AI Agents…. Here's full tutorial: https://lnkd.in/gpTKesYP

This AI Paper from Harvard Introduces Q-Probing: A New Frontier in Machine Learning for Adapting Pre-Trained Language Models The challenge of tailoring general-purpose LLMs to specific tasks without extensive retraining or additional data persists even after significant advancements in the field. Adapting LMs for specialized tasks often requires substantial computational ... https://lnkd.in/eZaw2cR3 #AI #ML #Automation

Most people find data boring; not machine learning engineers 🔧 I do though: so here's a quick graph that doesn't show anything new. Speechmatics is the best.🥇 Accuracy is THE definitive benchmark of quality for speech technology 🎯 Without it, you lose trust in your transcription, and any process built with it might be susceptible to compounding errors. More errors = less trust Fewer errors = more trust, more quality, more value. But don't just take my word for it. Artificial Analysis, an independent third party conducting benchmarks on AI systems, has independently assessed all leading speech vendors. And their latest results reveal... ... ... Speechmatics is THE definitive market leader on accuracy, with the lowest WER available 🥇🥇🥇 Check out the full breakdown 👇 🔗 https://lnkd.in/ejYYwh-M