Shipping your NLP applications has never been this intuitive!
Make your GPT-3 application faster, cheaper, and more effective with out-of-the-box production-ready features.
(A thread) 👇
Make your GPT-3 application faster, cheaper, and more effective with out-of-the-box production-ready features.
(A thread) 👇
Introducing Humanloop, aimed at making programming accessible for all.
Yes, you heard it right 🤯
It lets you fine-tune custom large language models that result in higher performance for your usecase at a lower cost.
Yes, you heard it right 🤯
It lets you fine-tune custom large language models that result in higher performance for your usecase at a lower cost.
Humanloop is built on the four core pillars responsible for improving model performance in production:
- Fine-tuning
- Feedback
- Experiment Tracking
- Standard SDK
Let's look at each of them one-by-one!
- Fine-tuning
- Feedback
- Experiment Tracking
- Standard SDK
Let's look at each of them one-by-one!
1. Fine-tuning
Prompts can only take you so far. You need to fine-tune the model with your custom data to get the best results.
With Humanloop, you can do it with a single click and no code.
Prompts can only take you so far. You need to fine-tune the model with your custom data to get the best results.
With Humanloop, you can do it with a single click and no code.
2. Feedback
Manually reviewing a few examples isn't enough for production applications. So, Humanloop lets you collect end-user feedback at scale to unlock actionable insights on how to improve your models.
With this, you can discover the issues that you are missing!
Manually reviewing a few examples isn't enough for production applications. So, Humanloop lets you collect end-user feedback at scale to unlock actionable insights on how to improve your models.
With this, you can discover the issues that you are missing!
3. Experiment Tracking
Find the best prompts and parameters on Autopilot. It lets you easily A/B test models and prompts with the improvement engine built for GPT-3.
So you can compare models/prompts and find the one that works the best for your usecase.
Find the best prompts and parameters on Autopilot. It lets you easily A/B test models and prompts with the improvement engine built for GPT-3.
So you can compare models/prompts and find the one that works the best for your usecase.
@OpenAI @CohereAI @AI21Labs That's a wrap! 👋
If you liked this thread, please RT and share it with the larger community!
Follow me @Saboo_Shubham_ to access more such content on GPT-3, LLMs, NLP, ML, and Data Science.
If you liked this thread, please RT and share it with the larger community!
Follow me @Saboo_Shubham_ to access more such content on GPT-3, LLMs, NLP, ML, and Data Science.
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