Compare Groq and Llama-3-70B with GPT-4 Turbo

Hacker News

Just added support for Llama-3 models to our AI app platform Promptly. We decided to try Groq cloud for powering these models and the results have so far been pretty good comparing Llama-3-70B with GPT-4 Turbo. Put an app together to compare these models. Check it out at https://trypromptly.com/a/groq-llama-3-70b-vs-gpt-4-turbo . https://trypromptly.com/s/iQG7EoJ4Pm is a sample output comparison between Llama-3-70B and GPT-4 turbo. https://youtu.be/1UChY6EDwFA shows the inference speed of Groq compared to GPT-4.

Visit product View on Hacker NewsApr 22, 2024

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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