OpenAI
A head-to-head comparison of Claude Sonnet 4.5 and GPT-5, covering coding, reasoning, math, tool use, cost, and ecosystem integrations , with insights on where each model is best suited for enterprise use.
AI Agents
Learn how to build multi-agent AI systems using OpenAI Swarm, an educational framework designed for managing collaborative AI agents with Portkey.
Chain of Thought
Explore O1 Mini & O1 Preview models with Chain-of-Thought (CoT) reasoning, balancing cost-efficiency and deep problem-solving for complex tasks.
Fine-tuning
OpenAI’s latest update marks a significant leap in AI capabilities by introducing vision to the fine-tuning API. This update enables developers to fine-tune models that can process and understand visual and textual data, opening up new possibilities for multimodal applications. With AI models now able to "see"
OpenAI
This update is welcome news for developers who have been grappling with the challenges of managing API costs and response times. OpenAI's Prompt Caching introduces a mechanism to reuse recently seen input tokens, potentially slashing costs by up to 50% and dramatically reducing latency for repetitive tasks. In
Benchmarks
OpenAI's new "omni-moderation-latest" model shows significant improvements over the legacy model, especially in multilingual performance and image moderation. We benchmark it's capabilties with it's predecessor.
Production Guides
This is a guest post by Ganaraj, based on the talk he gave at the LLMs in Prod Meetup in Bangalore. AI has fundamentally changed the way we build apps. I transitioned from being a coder to a creative prompter. This shift from coding to creative prompting might seem like
Production Guides
Portkey now natively integrates with Langchain, CrewAI, Autogen and other major agent frameworks, and makes your agent workflows production-ready.
Production Guides
We are solving the *biggest missing component* in taking AI apps to prod → Now, enforce LLM behavior and route requests with precision, in one go.
Production Guides
The Rise of Open-source LLMs in Production
Production Guides
2024 is the year where Gen AI innovation and productisation happens hand-in-hand. We are seeing companies and enterprises move their Gen AI prototypes to production at a breathtaking pace. At the same time, an exciting new shift is also taking place in how you can interact with LLMs: completely new
AI
Retrieval-Augmented Generation (RAG) models represent a fascinating marriage of two distinct but complementary components: retrieval systems and generative models. By seamlessly integrating the retrieval of relevant information with the generation of contextually appropriate responses, RAG models achieve a level of sophistication that sets them apart in the realm of artificial