Some ideas for Opendoor with help from @DeepSkyAI
cc: @rabois@ericjackson@ihat@shrisha $OPEN @APompliano
1. The Integrated Smart Home
Selling a house is a means to an end. The real product is the home itself. Opendoor is uniquely positioned at the point of transaction to…
🥁 Shoutout to our top 3 projects of the week (wk 33)
🥇 @DeepSkyAI is a super agent for business professionals, focused on deep research, analysis, and decision-making by Chris Chang and team!
🥈 Amicons by @MarekMinor is a beautiful icon library with over 1400 hand-crafted…
It’s built specifically for business operators and investors. You also get access to crunchbase, market data, sec filings, Factset etc. most powerful agent for business out there.
It’s built specifically for business operators and investors. You also get access to crunchbase, market data, sec filings, Factset etc. most powerful agent for business out there.
Swapped our browser agent web browser from @browserbasehq to @onkernel and startup latency went from ~(30 seconds - never because it failed to load) to a few seconds.
Really great product @onkernel! Crazy to see y'all shipping in features in real time too.
Take a look at why we had to implement a new pipeline for synthetic long context data generation in order to overcome challenges in training our 1M+ @AIatMeta Llama-3 context models 🧐
🔗gradient.ai/blog/synthetic…
✅ Shifting from Pre to Post-Training
✅ Why Synthetic Data is…
The major challenge in training long context models isn't just improving attention implementation. It's also the scarcity of adequate long context training data. In order train our @AIatMeta Llama-3 long context models, we developed a synthetic data generation pipeline that…
Excited that the RULER Benchmark now includes Gradient's 1M Context Length @AIatMeta Llama-3 70B, placing it 4th overall! 🙌 github.com/hsiehjackson/R…
Take a look at some our deep dives into long context to learn more:
✅ RULER vs. 1M Llama3 70B: gradient.ai/blog/ruler-vs-…
✅ RULER…
What an episode! Join our Co-Founder & Chief Architect, @markatgradient, as he breaks down the intricacies of scaling Llama3 beyond a 1M context window on the latest episode on @latentspacepod!
🔗 latent.space/p/gradient
✅ History of Long Context
✅ Intro to RoPE, ALiBi, and…
We're excited about how our 1M Context Length @AIatMeta Llama-3 70B performed against RULER. Dive into the results or checkout how we made this possible (e.g. scaling rotational embeddings).
✅ RULER Results: gradient.ai/blog/ruler-vs-…
✅ Made Possible By: gradient.ai/blog/scaling-r…
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