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The Helicone Blog

Thoughts about the future of AI - from the team helping to build it.

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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

May 31, 2024

Helicone vs. Weights and Biases
Insider Scoop: Our Co-founder's Take on GitHub Copilot
/ team's pick-4 minute read

Insider Scoop: Our Co-founder's Take on GitHub Copilot

No BS, no affiliations, just genuine opinions from Helicone's co-founder.

Lina Lam

May 30, 2024

Insider Scoop: Our Founding Engineer's Take on PostHog
/ team's pick-3 minute read

Insider Scoop: Our Founding Engineer's Take on PostHog

No BS, no affiliations, just genuine opinions from the founding engineer at Helicone.

Lina Lam

May 23, 2024

A step by step guide to switch to gpt-4o safely with Helicone
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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

May 14, 2024

A Guide for Datadog Users Building with LLMs
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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

Apr 29, 2024

A LangSmith Alternative that Takes LLM Observability to the Next Level
/ compare-4 minute read

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

Apr 18, 2024

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