try out the @gradio demo: https://t.co/9C6rsofy7B https://t.co/8SNzHdNK8A pic.twitter.com/7sj9d5xTdw
— AK (@_akhaliq) 7 août 2024
try out the @gradio demo: https://
github.com/OpenBMB/MiniCP
M-V?tab=readme-ov-file#chat-with-our-demo-on-gradio-
…

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try out the @gradio demo: https://t.co/9C6rsofy7B https://t.co/8SNzHdNK8A pic.twitter.com/7sj9d5xTdw
— AK (@_akhaliq) 7 août 2024
try out the @gradio demo: https://
github.com/OpenBMB/MiniCP
M-V?tab=readme-ov-file#chat-with-our-demo-on-gradio-
…
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https://
huggingface.co/spaces/openbmb
/MiniCPM-V-2_6
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A new Anonymous GPT-4 based model seems to be better at writing a bit (responses are more humanised). But I had the same impression from Google’s Eureka (which I am still not sure if it was already released) ICYMI: you can spot it on lmsys arena in the battle mode
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I’ve been using Claude as an editor for the past few months. It’s great, but it gives me an A- on practically any first draft I send it.
— Packy McCormick (@packyM) 7 août 2024
Dan and I try to fix that. He’s a master. https://t.co/q1YEySkWPN
I’ve been using Claude as an editor for the past few months. It’s great, but it gives me an A- on practically any first draft I send it. Dan and I try to fix that. He’s a master.

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One of the worst mistakes many AI teams are making today: Using data generated by LLMs to train machine learning models or create a 'self-learning' training loop. While the idea may seem appealing and
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This was very noticeable in GPT-4 around its release and anecdotally it’s gotten better since. My complete armchair guess is this is RL rather than imitation — it feels like a student playing to their teacher’s quirky grading system.
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The report divides the insurtech space into 6 categories: claim & fraud management, digital brokerage and comparison platforms, digital insurers, marketing, sales & distribution, policy administration & admintech, and underwriting & risk analysis.
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Fun with AI, outrageous fun with AI, and some dead serious stuff:

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LLaVA-OneVision Easy Visual Task Transfer discuss: https://
huggingface.co/papers/2408.03
326
… We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our