Mixtral 8x7B
product on 6 shows · 3 statements across 3 episodes · said 40 times in 15 episodes since 2023
Latent Space 27 
the a16z Podcast 6 
20VC 3 
No Priors 2 
BG2 Pod 1 
the MAD Podcast 1
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Latent Space 27the a16z Podcast 620VC 3No Priors 2BG2 Pod 1the MAD Podcast 1
2026 5 mentions in 2 episodes 3 per episode
2025 2 mentions in 2 episodes 1 per episode
2024 27 mentions in 10 episodes 3 per episode
- The Four Wars of the AI Stack - Dec 2023 Recap
- [Paper Club] Upcycling Large Language Models into Mixture of Experts
- No Priors Ep. 47 | With Sourcegraph CTO Beyang Liu
- The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- Aravind Srinivas:Will Foundation Models Commoditise & Diminishing Returns in Model Performance|E1161 · 20VC with Harry Stebbings
- AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- 2 more episodes that year, every mention in 2024 →
2023 6 mentions in 1 episode
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3 statements about Mixtral 8x7B, every show
Ethan He: Hugging Face's sequential GEMM loop for Mixtral is inefficient
“Let's also look at the implementation of Mixtro eight by seven on Hagen-Phys transformer. You will soon notice the, in the expert operation there, You would iterate over all of the experts and compute each of the gem operations one by one. We found that this i…”
Madra: Llama 3 became Groq's most popular model in 48 hours
“And for us, we saw within the first 48 hours, it become the most power, most popular model that we run on Grok. And so really replacing what? Replacing Mixtrel eight by seven for us, which was, you know, generally considered the best open source model at that …”
Mensch: Mistral targets model efficiency to reach top performance per compute cost
“And so that's why we continued of targeting very efficient models with the Mixtral HX seven B and more recently, Mixtral HX 22 B ensuring that for a certain costs and for a certain size, we were reaching the top performance of the market.”