LLM Data extraction project RnD -- 2

Leveraging my extensive experience in both database programming and API development, I am well-equipped to tackle your LLM Data extraction project RnD. My prowess in utilizing LLM models is complemented by my understanding of languages like Python, Node.js and Google Cloud AI products. This has enabled me to create high-performing systems exactly matching business vision in the past - a strength that will prove critical in ensuring your data gets filled accurately. In addition to meeting the specified requirements, I also share your commitment to client communication. I believe that it is only when we truly understand your unique goals, challenges and users that our solutions can genuinely exceed expectations. My iterative development process ensures that you get to see and provide feedback at every step. My track record includes successful collaborations across diverse sectors like finance, healthcare and ecommerce. Using my talents, their businesses experienced revenue growth, improved user engagement and more streamlined operations. Let's build on this precedent: together we can create an efficient, accurate and collaborative data extraction process that sets the stage for your success. Reach out to me now; let's chat about how we can bring your digital dreams to fruition.

Hello there, we are a team of full stack developers and Graphic Designers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish.

I possess a solid grasp of LLM technology, honed through hands-on experience in matching extracted data to specific fields seamlessly. My proficiency in API development ensures smooth integration of LLM capabilities into your system, guaranteeing highly accurate results. Additionally, my familiarity with Google Cloud AI products enhances the project's potential by tapping into cloud-based solutions for optimized performance.

With over half a decade of experience leading F(x) Data Labs, I am truly excited about the possibility of tackling your data extraction project. My team and I at F(x) Data Labs have consistently delivered highly accurate results for our clients as a result of our proficiency in LLM models, API development and our strong grasp in programming languages. Our track record speak volumes for the level of commitment and dedication we bring into each project. In terms of AI capabilities, specifically related to OpenAI API and Google Cloud AI products, I can safely say that we are industry leaders having impacted 10% of the global market with 400+ successful projects. This sort of real-world experience combined with our understanding of your requirements put us in a unique position to extract and deliver your data with pinpoint accuracy. We believe communication is key; our team will keep you involved every step of the way, updating and sharing project results so that any necessary adjustments can be made promptly. With F(x) Data Labs as your tech and talent partner, you become part of our success story. We look forward to creating a brilliant match between your extracted document data and your specific system fields - matching every 'Customer Name' to the corresponding 'Client Name'

My specialty is Natural Language Processing (NLP) using cutting-edge AI models like Large Language Models (LLMs), including Llama2, Mistral, and BERT. I am experienced in developing & deploying solutions utilizing RAG, using vector databases (Qdrant, Chroma db, PostgresSQL, etc) to unlock deeper meaning from text data via leveraging sentence transformers. In one of my recent projects, I utilized llama2, Mistral LLM to extract information from pdf documents, developing specific prompts based on the nature of the information being extracted. Also, utilization of NER models that are trained for task-specific provides more accurate results but has an overhead of finetuning. A mix of both techniques can also be utilized to deliver results. Questions: Q1: are you open to hosting LLM’s locally if needed or OpenAI is the only option? Q2: what are the source document formats as data curation is a key success factor, good quality curation provides better results? Q3: Provide details of DBMS needed and does chosen RDBMS has vector storage capabilities. I have experience with python, flask, uvicorn and fastapi libraries, Golang and C#.

I had 2 stories. When I was a BI Developer I made 20-30 dashboards and in one of them, we helped people save wet people on beaches because the applications had the statistics and some data to help the public servers. The other history is about my final work of graduation. I am doing a feature that maps the topic modeling of texts and I am using 2 or more Python libraries to respond to the similarities between topics. I am interested in the project because I have participated in the solutions to use new technologies to improve the lifestyle and payments of all people. I believe that people have difficulty changing the standard behavior of using of cards and starting digital solutions and, the company has been taught this theme some light years ahead.