Gradient – a web API for fine-tuning and deploying Llama2

Hacker News

We’ve just launched Gradient — an API that helps you build private LLMs that you own. We simplify inference and fine-tuning on open-source LLMs such as llama2, and you only pay by the token. Our API platform makes it possible for you to create private models with a single API call. Run inference on your fine tuned model instantly with no cold boot (and no need to pay for compute costs). The product is truly on demand - when you run fine tuning and inference on our platform, there's nearly 0 startup latency for these API calls. And you're not paying for the compute, you just pay for the tokens you're consuming. This makes it possible for developers to build and serve nearly unlimited fine tuned models without incurring ridiculous infrastructure fees. We currently support Llama2 7B and Nous Hermes2 (Llama2 13B unlocked variant), and are releasing LlamaCoder and Llama2 70b in a few weeks. Gradient is also SOC 2 and HIPAA compliant. When you sign up, we give you $10 in free credits to start experimenting. We'd love to get your feedback, and let us know what you're building on our Discord! Sign up ( https://gradient.ai/ ) Twitter ( https://twitter.com/Gradient_AI_ ) Discord ( https://discord.gg/yvgVKEgkmd )

Visit product View on Hacker NewsAug 29, 2023

Share card

Actual performance

26points

8comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: llama · Missing: https docs, excited, just released

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, calls · Missing: plus, intuitive, reviews

17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Fine tuning and RLHF mistralai 7B using DeepSpeed38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine tuning and RLHF mistralai 7B using DeepSpeed

Hacker News1

ShadowPEFT – Centralized and Detachable Parameter-Efficient Fine-Tuning44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ShadowPEFT – Centralized and Detachable Parameter-Efficient Fine-Tuning

Hacker News6

Terracotta – Platform for fine-tuning and evaluating LLMs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terracotta – Platform for fine-tuning and evaluating LLMs

Hacker News1

Predibase Reinforcement Fine-Tuning60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLM reinforcement fine-tuning platform to improve LLM output

Product Hunt+172SaaS

Open Source Reinforcement Fine-Tuning for Your Agents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source Reinforcement Fine-Tuning for Your Agents

Hacker News5

Quaterion – x100 faster fine-tuning of similarity learning models49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quaterion – x100 faster fine-tuning of similarity learning models

Hacker News19

Tinker70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Control every aspect of model training and fine-tuning

Product Hunt+125API

Automate Emails by Fine-Tuning Our AI To Your Service37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate Emails by Fine-Tuning Our AI To Your Service

Hacker News2

Open-source fine-tuning in a Colab notebook80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source fine-tuning in a Colab notebook

Hacker News5

Jokes: fine-tuning GPT to make AI funnier62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jokes: fine-tuning GPT to make AI funnier

Hacker News1

Browse all products Analyze your launch