2024 Predictions - LLM Series - Domain-Specific GPT, Multimodal World, SpeedyPrototyping, ResponsibleAI

2024, More products / Innovation with Improved Benchmarks for Domain-Specific GPT, Multimodal World, SpeedyPrototyping, ResponsibleAI and Privacy assured personalized LLM recommendations for Mental Health, Healthcare Tips

1. Improved Benchmarks from Domain-Specific GPT - Go niche with a Domain-Specific GPT. Bring your data, and domain knowledge and Build your LLM. Why settle for generic when you can bring your data and craft a model that knows your field inside out? More benchmarks and newer models both custom / open source across domains #CustomizedAI #CustomGPT

2. #Personalized answers with privacy - Welcome Personal Data + LLM for mental health, healthcare, and suggestions. Your privacy remains intact while you enjoy tailor-made advice crafted just for you. #PersonalizedAdvice #PrivacyMatters.

3. Integrated Multimodal World - It's a #Multimodal World! Knowledge isn't just text; it's Images + Text + Data. Embrace the power of combined data forms to receive enriched, multimodal insights that tell the complete story for recommendations, personalization. #MultimodalKnowledge #HolisticAI

4. #SpeedyPrototyping - Supercharge your innovation engine with Ideas an ensemble of Models. Watch your prototyping speed take off as diverse AI models converge to refine your visions faster than ever! #SpeedyPrototyping #AIEnsemble

5. #ResponsibleAI Model building and solutioning - It's not just about building models; it's about building them right—robust, reliable, and fair. For all infrastructure providers, LLM training vendors, evaluators, and advocates for responsible AI, your insights are invaluable. #AIEthics #ResponsibleAI #GenAI #LLM #Domains #2024 #Predictions #perspectives

Domain Specific GPT

• BloombergGPT
• ClimateBERT
• KAI-GPT
• ChatLAW
• FinGPT
• BioMedLM

Ref - Link1, Link2

Custom Training Models

• Customizing GPT Models for Domain-Specific NLP Tasks: Techniques for Fine-tuning and Adaptation
• Training Stable Diffusion from Scratch Costs <$160k
• Training Stable Diffusion from Scratch for <$50k with MosaicML (Part 2)
• How We Trained Stable Diffusion for Less than $50k (Part 3)
• HOW TO TRAIN AN OPEN-SOURCE FOUNDATION MODEL INTO A DOMAIN-SPECIFIC LLM?

The future is Intelligence as a Service (Commodity)

• LLM OS
• LLM Super App
• LLM based content creation tools

Keep Exploring!!!