LLM Fine-Tuning for Wider Coverage

@GameOfWords

LLM Fine-Tuning for Wider Coverage I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@ziadhosaaam

Hello, As a full-stack developer, I am confident that I can level up your LLM fine-tuning component to meet your ambitious goals. My expertise in Python, and more importantly, my broader skills in system architecture and workflow automation, are well-aligned with the needs of your project. I have a proven track record of building clean and scalable solutions while maintaining code efficiency- a quality that becomes crucial when dealing with lightweight models. When it comes to working with intricate data mixes and implementing automated evaluation loops, I have both the technical understanding and organisational capability needed for unerring execution. Moreover, my experience in building dashboards and backend platforms using advanced AI integrations has often demanded cross-domain comprehension. This translates into my ability to curate balanced tuning sets covering deep technical content and sector-specific information as required by your project. What sets me apart is not simply being able to deliver on technical requirements but being highly communicative throughout the process. You will be involved at every stage as I work to create clear, reproducible notebooks or scripts along with your updated checkpoint. Choosing me for the job ensures an efficient, reliable, and communicative partner that is sure to meet your requirements. Let's combine our strengths to make your LLM platform not just robust within its niche but powerfu Thanks!

@Hemantt841

You’re looking to enhance your hallucination-resistant LLM platform by improving the lightweight fine-tuning component so it generalizes confidently across technical and industry-specific topics without increasing compute costs. I understand you want to refresh your LoRA/PEFT workflow or explore alternatives, curate balanced tuning and evaluation sets, and implement an automated evaluation loop for measurable improvements. With over 15 years of experience and 200+ projects completed, I specialize in Python development, AI model fine-tuning, and automation workflows, including working extensively with LLMs and related NLP technologies. My background in cloud infrastructure and API integration supports seamless deployment of robust AI solutions in production pipelines. I would start by analyzing your current LoRA/PEFT setup, then design a data curation strategy combining deep technical and sector-specific content for balanced fine-tuning. I’ll implement an automated evaluation loop using exact-match, BLEU, and factuality metrics and deliver reproducible notebooks alongside updated checkpoints. This approach can be completed within two to three weeks, ensuring integration into your existing platform without bloating resource usage. Let’s discuss how I can help you achieve reliable cross-topic performance while maintaining your model’s strong hallucination safeguards.