What generative AI models does GenAI.fast support?

GenAI.fast provides access to GPT-4, Claude, Gemini, Llama 3, Mistral, Stable Diffusion, DALL-E, and custom fine-tuned models. It offers unified APIs for text generation, image creation, code generation, embeddings, and multimodal AI. Switch between models easily, compare outputs, and use the best model for each task without managing infrastructure.

How does GenAI.fast handle prompt engineering and optimization?

GenAI.fast includes intelligent prompt templates, automatic prompt optimization, and A/B testing for prompts. It provides prompt versioning, performance analytics, and suggestions for improvement. The platform learns which prompts work best for your use cases, automatically refining them over time. Get consistent, high-quality AI outputs without expert prompt engineering.

What are the cost-saving features of GenAI.fast?

GenAI.fast reduces AI costs through intelligent caching, response deduplication, automatic model selection, and token usage optimization. It caches common queries, routes requests to optimal models based on complexity, and provides detailed cost analytics. Typical savings are 40-60% compared to direct API usage, with better performance through smart caching.

How does GenAI.fast ensure AI output quality and safety?

GenAI.fast includes content filtering, bias detection, factuality checks, and output validation. It monitors for inappropriate content, ensures responses align with guidelines, and provides confidence scores. Safety guardrails prevent harmful outputs, and audit logs track all AI interactions. Maintain quality and compliance without sacrificing innovation.

Can I fine-tune models and use custom AI workflows with GenAI.fast?

Yes, GenAI.fast supports model fine-tuning with your data, custom training pipelines, and complex multi-step AI workflows. Chain multiple AI models together, add custom logic between steps, and orchestrate sophisticated AI applications. It handles model versioning, A/B testing, and gradual rollouts for custom models.

GenAI.fast - Generative AI Development Platform

The Problem We're Solving

AI infrastructure is too complex for most teams

❌ The Old Way (DIY Hell)

• Manage LLM API keys across 5 different providers manually
• Build vector database infrastructure from scratch
• Handle rate limits, retries, fallbacks yourself
• No visibility into costs until massive bills arrive
• Prompt engineering through trial and error, no versioning

✅ The GenAI.fast Way

• Single API for GPT-4, Claude, Llama, Gemini-switch instantly
• Managed vector database with automatic embeddings
• Built-in retry logic, fallback providers, rate limiting
• Real-time cost tracking per user, per request
• Version-controlled prompts with A/B testing built-in

How It Works

Production-ready AI infrastructure in one API

Unified LLM API

One API, multiple LLM providers-GPT-4, Claude, Gemini, Llama. Switch models without code changes. Automatic fallbacks if provider is down. Cost optimization routes to cheapest model that meets requirements.

Vector Database

Managed Pinecone, Weaviate, or Qdrant. Upload documents, get automatic embeddings and semantic search. RAG patterns built-in-no infrastructure setup. Scale to billions of vectors without ops overhead.

Image Generation

Stable Diffusion, DALL-E, Midjourney APIs unified. Generate, upscale, edit images with one interface. Content moderation built-in. Queue management handles high-volume generation without rate limit errors.

GenAI Platform Features

Everything to build production AI apps

LLM Gateway

Single API for all major LLMs. Automatic retries, fallbacks, rate limiting. Usage tracking per model. A/B test prompts across models. Switch providers without changing code. Cost optimization built-in.

Vector Search

Managed vector database for semantic search. Automatic embeddings generation. RAG pipelines in 10 lines of code. Hybrid search combining keywords and vectors. Scale to billions of documents effortlessly.

Prompt Management

Version control for prompts with Git-like workflows. A/B test different prompts automatically. Rollback bad prompts instantly. Template variables for dynamic prompts. Prompt analytics show what works best.

Cost Tracking

Real-time cost monitoring per user, per request. Set spending limits and alerts. Cost optimization suggests cheaper models. Historical spending analytics. Prevent bill shock with budget enforcement.

Content Moderation

Automatic toxic content filtering. PII detection and redaction. NSFW image detection. Hallucination detection for factual accuracy. Compliance with content policies automatic. Safe AI by default.

Analytics & Monitoring

Track response quality, latency, costs in real-time. User satisfaction metrics. Model performance comparison. Error tracking and alerting. Logs searchable for debugging. Complete observability for AI apps.

AI Model Integrations

All major LLMs and AI services

OpenAI

Claude

Gemini

Llama

Vector DB

Redis

HuggingFace

TensorFlow

Why Choose GenAI.fast

Ship AI apps without infrastructure nightmares

10x Faster Time-to-Market

Skip months of infrastructure work. Managed LLM APIs, vector databases, prompt versioning-all ready to use. What took 6 months now takes 2 weeks. Focus on your AI product, not DevOps.

Cost Optimization

Real-time cost tracking prevents bill shock. Automatic routing to cheapest model that meets requirements. Set spending limits per user. Cost savings average 60% vs raw API usage.

Production-Ready Reliability

Automatic retries, fallback providers, rate limiting built-in. 99.9% uptime SLA. No more "OpenAI is down" outages-seamless failover to backup providers. Enterprise-grade reliability from day one.

Multi-Model Strategy

Don't lock into single LLM provider. Switch between GPT-4, Claude, Gemini, Llama without code changes. A/B test models to find best quality/cost ratio. Future-proof against provider changes.

GenAI Success Stories

Real AI apps built on GenAI.fast

SaaS: AI Customer Support in 2 Weeks

B2B software company built ChatGPT-style support bot using GenAI.fast. Vector search over docs enables accurate answers. Cost tracking showed 90% cheaper than hiring support reps. Handles 10,000 queries daily, 95% resolution rate without human intervention.

Legal Tech: Document Analysis at Scale

Law firm analyzes contracts with GenAI.fast RAG pipeline. Uploads 100,000 contracts, gets semantic search instantly. GPT-4 extracts key clauses, finds risks. Saves paralegals 200 hours weekly. Multi-model fallback ensures zero downtime during analysis.

E-Commerce: AI Product Images

Online retailer generates product lifestyle images with Stable Diffusion via GenAI.fast. 1,000 images generated daily. Content moderation prevents NSFW outputs. Cost tracking shows $0.10 per image vs $50 for photo shoots. Product page conversion up 35%.

DevTools: AI Code Assistant

Developer tool company built GitHub Copilot competitor using GenAI.fast. Unified API lets users choose GPT-4, Claude, or Llama. Cost optimization routes simple queries to cheaper models. Prompt versioning enables rapid improvement. 50,000 developers using daily.

Content Platform: AI Writing Assistant

Publishing platform adds AI writing features with GenAI.fast. Users get suggestions from multiple LLMs simultaneously. A/B testing showed Claude best for creative, GPT-4 for technical. Cost tracking per user prevents abuse. 2M AI-assisted articles published monthly.

Research: Semantic Search Engine

Academic research platform indexes 10M papers with GenAI.fast vector database. Semantic search finds relevant papers traditional keyword search misses. Citation extraction via LLM. Researchers find answers 10x faster. Infrastructure managed completely by GenAI.fast.

AI Development Best Practices

Build responsible, scalable AI applications

Version Control Prompts

Treat prompts like code-version control with Git. Test changes before production. Rollback bad prompts instantly. Document why prompts work. Prompt engineering is software engineering.

Monitor Costs Obsessively

LLM costs add up fast. Set per-user spending limits. Alert when costs spike. Optimize by routing simple queries to cheaper models. Cost awareness prevents $10K bills.

Implement Fallbacks

Don't depend on single LLM provider. Configure fallback models when primary fails. Test failover scenarios. Users should never see "AI is down" errors. Reliability through redundancy.

Content Moderation Always

Filter toxic inputs and outputs automatically. Detect PII before logging. Screen for NSFW content in image generation. Moderation isn't optional-it's liability protection.

Test With Real Users

AI quality varies by use case. A/B test prompts and models with actual users. Track satisfaction metrics. What works in development may fail in production. User feedback beats theory.

Cache Aggressively

Identical queries get identical answers. Cache LLM responses to save costs and latency. TTL based on content type. Semantic caching for similar questions. Reduce API calls 80% with smart caching.

Build AI-Powered Applications

Production-ready infrastructure, zero ops overhead

GenAI.fast is part of the NextGen.fast ecosystem, bringing unified LLM APIs, managed vector databases, and production AI infrastructure to your workflow. Join 8,234 developers building the AI-first future with scalable, cost-effective infrastructure.

Explore All NextGen.fast Tools Back

Genai.fast