Cohere
5 statements across 5 episodes · 2 bullish · 0 bearish · 5 people on the record · first statement Sep 19, 2024 by Umar Jamil · said 13 times in 9 episodes since 2023 · across every show →
Mentions by year
brought up most by Shawn Wang (5), Umar Jamil (2), Will Brown (1), Luca Soldani (1), Loubna Ben Allal (1), Eugene Yan (1)
tap a year for its mentions
2025 5 mentions in 2 episodes 3 per episode
2024 7 mentions in 6 episodes 1 per episode
- [Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
- Best of 2024: Synthetic Data / Smol Models, Loubna Ben Allal, HuggingFace [LS Live! @ NeurIPS 2024]
- Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- [Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shreya Shankar
- Production AI Engineering starts with Evals
- High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- every mention in 2024, scene by scene →
2023 1 mention in 1 episode
Everything said about Cohere, oldest first
Sep 19, 2024 neutral
Jamil: OpenAI and Cohere Overlap Prefill and Generation to Maximize GPU Utilization
“Token generation is memory bound means that the limitation is only given by how much your KVCache can hold. So the memory can hold in terms of KVCache. While prefilling is compute bound, so to maximize the GPU utilization, whenever you work with OpenAI or Cohe…”
Nov 29, 2024 bullish
Eugene Yan: Ensembled LLMs outperform standalone GPT-4 for evaluation tasks
“So in this paper here by Kohir, what they did was they have a reference model, and this reference model is GPT-IV. And then essentially what they did was the ensemble command R, Haiku, and GPT-IV. And I can't remember what the I think the ensemble was just maj…”
Dec 24, 2024 positive
Ben Allal: Pooling multiple teacher models produces superior synthetic datasets
“Synthetic data, it doesn't have to come from a single model. And because we have so many good models now, you could like pull these models together and get like a dataset that's over really high quality and that's diverse and that's covers all your needs.”
May 9, 2025 neutral
Dec 31, 2025 neutral
Arena sampled open-source models at 60/40, debunking Leaderboard Illusion paper
“But, you know, there, for example said that we were, that we only sampled, like, nine percent open source models and, like, you know, 60%, like, closed source models, and this created a gap between open and closed source. But in reality, we're actually really …”