The Helicone Blog
Thoughts about the future of AI - from the team helping to build it.
The LLM Stack: A New Paradigm in Tech Architecture
Explore the emerging LLM Stack, designed for building and scaling LLM applications. Learn about its components, including observability, gateways, and experiments, and how it adapts from hobbyist projects to enterprise-scale solutions.
Justin Torre
The Evolution of LLM Architecture: From Simple Chatbot to Complex System
Explore the stages of LLM application development, from a basic chatbot to a sophisticated system with vector databases, gateways, tools, and agents. Learn how LLM architecture evolves to meet scaling challenges and user demands.
Justin Torre
What is Prompt Management?
Iterating your prompts is the #1 way to optimize user interactions with large language models (LLMs). Should you choose Helicone, Pezzo, or Agenta? We will explore the benefits of choosing a prompt management tool and what to look for.
Lina Lam
Meta Releases SAM 2 and What It Means for Developers Building Multi-Modal AI
Meta's release of SAM 2 (Segment Anything Model for videos and images) represents a significant leap in AI capabilities, revolutionizing how developers and tools like Helicone approach multi-modal observability in AI systems.
Lina Lam
What is LLM Observability and Monitoring?
Building with LLMs in production (well) is incredibly difficult. You probably have heard of the word LLM observability'. What is it? How does it differ from traditional observability? What is observed? We have the answers.
Lina Lam
Compare: The Best LangSmith Alternatives & Competitors
Observability tools allow developers to monitor, analyze, and optimize AI model performance, which helps overcome the 'black box' nature of LLMs. But which LangSmith alternative is the best in 2024? We will shed some light.
Lina Lam
Handling Billions of LLM Logs with Upstash Kafka and Cloudflare Workers
We desperately needed a solution to these outages/data loss. Our reliability and scalability are core to our product.
Cole Gottdank
Best Practices for AI Developers: Full Guide (June 2024)
Achieving high performance requires robust observability practices. In this blog, we will explore the key challenges of building with AI and the best practices to help you advance your AI development.
Lina Lam
I built my first AI app and integrated it with Helicone
So, I decided to make my first AI app with Helicone - in the spirit of getting a first-hand exposure to our user's pain points.
Lina Lam
How to Understand Your Users Better and Deliver a Top-Tier Experience with Custom Properties
In today's digital landscape, every interaction, click, and engagement offers valuable insights into your users' preferences. But how do you harness this data to effectively grow your business? We may have the answer.
Lina Lam
Helicone vs. Weights and Biases
Training modern LLMs is generally less complex than traditional ML models. Here's how to have all the essential tools specifically designed for language model observability without the clutter.
Lina Lam
Insider Scoop: Our Co-founder's Take on GitHub Copilot
No BS, no affiliations, just genuine opinions from Helicone's co-founder.
Cole Gottdank
Lina Lam
Insider Scoop: Our Founding Engineer's Take on PostHog
No BS, no affiliations, just genuine opinions from the founding engineer at Helicone.
Stefan Bokarev
Lina Lam
A step by step guide to switch to gpt-4o safely with Helicone
Learn how to use Helicone's experiments features to regression test, compare and switch models.
Scott Nguyen
A Guide for Datadog Users Building with LLMs
Datadog has long been a favourite among developers for monitoring and observability. But recently, LLM developers have been exploring new options. Why? We have some answers.
Lina Lam
A LangSmith Alternative that Takes LLM Observability to the Next Level
Both Helicone and LangSmith are capable, powerful DevOps platform used by enterprises and developers building LLM applications. But which is better?
Lina Lam
Why Observability is the Key to Ethical and Safe Artificial Intelligence
As AI continues to shape our world, the need for ethical practices and robust observability has never been greater. Learn how Helicone is rising to the challenge.
Scott Nguyen
Introducing Vault: The Future of Secure and Simplified Provider API Key Management
Helicone's Vault revolutionizes the way businesses handle, distribute, and monitor their provider API keys, with a focus on simplicity, security, and flexibility.
Cole Gottdank
Life after Y Combinator: Three Key Lessons for Startups
From maintaining crucial relationships to keeping a razor-sharp focus, here's how to sustain your momentum after the YC batch ends.
Scott Nguyen
Helicone: The Next Evolution in OpenAI Monitoring and Optimization
Learn how Helicone provides unmatched insights into your OpenAI usage, allowing you to monitor, optimize, and take control like never before.
Scott Nguyen
Helicone partners with AutoGPT
Helicone is excited to announce a partnership with AutoGPT, the leader in agent development.
Justin Torre
Generative AI with Helicone
In the rapidly evolving world of generative AI, companies face the exciting challenge of building innovative solutions while effectively managing costs, result quality, and latency. Enter Helicone, an open-source observability platform specifically designed for these cutting-edge endeavors.
George Bailey
(a16z) Emerging Architectures for LLM Applications
Large language models are a powerful new primitive for building software. But since they are so new—and behave so differently from normal computing resources—it’s not always obvious how to use them.
Matt Bornstein
Rajko Radovanovic
(Sequoia) The New Language Model Stack
How companies are bringing AI applications to life
Michelle Fradin
Lauren Reeder