Hey everyone,

With the rapid rise of generative AI, Large Language Models (LLMs) are no longer just a research novelty they're becoming practical tools across industries. One area where their impact is especially promising (and complex) is healthcare.

I’m curious to hear your thoughts and experiences around LLM development, especially from those working in medtech, enterprise AI, or AI research.

Some discussion points:

Use Cases:

• Have you worked on LLMs for clinical documentation, research summarization, or patient chatbots?

• What’s the most exciting application of LLMs you’ve seen in healthcare or beyond?

Development Strategies:

• Are you building from scratch, fine-tuning open models like LLaMA/Mistral, or using APIs from OpenAI/Anthropic?

• How are you addressing domain-specific accuracy, hallucination risks, and real-world deployment?

Challenges:

• Privacy, HIPAA/GDPR compliance, and data availability remain key hurdles. How are you tackling them?

• Any thoughts on model interpretability or trust in clinical environments?

LLM Development Services:
Has anyone here worked with or offered LLM development services? Curious to know how well external teams handle domain alignment, integration, and long-term support.

Would love to trade insights, tools, and lessons learned. Let’s make this thread a resource for anyone building smart, safe, and scalable language models.

Looking forward to hearing your stories!

Tagging relevant folks: AI devs, healthcare pros, product builders, and researchers welcome!

#LLM #AIdevelopment #HealthcareAI #LLMdevelopment #CustomAI #MedTech #LanguageModels #OpenSourceAI