LlamaIndex π¦ (GPT Index)
LlamaIndex 0.4.21 π¦: a new JSON reader + better ChatGPT integrations!
- A BIG shoutout to @yi_ding for coming up with novel JSON parsing during the #ChatGPT hackathon yesterday! See π§΅ for more details. Added to both LlamaIndex + LlamaHub!
- Better ChatGPT Integrations π¬
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LlamaIndex 0.4.21 π¦: a new JSON reader + better ChatGPT integrations!
- A BIG shoutout to @yi_ding for coming up with novel JSON parsing during the #ChatGPT hackathon yesterday! See π§΅ for more details. Added to both LlamaIndex + LlamaHub!
- Better ChatGPT Integrations π¬
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Paul Roetzer
Big news today from @HubSpot. @dharmesh announced ChatSpot, an AI tool that builds ChatGPT-like functionality right into your HubSpot CRM. A few key takeaways we highlight in the blog post:
1. This is worth paying attention to.
2. But itβs going to create https://t.co/jgo4feXSJ5β¦ https://t.co/u5CbsvTIZC
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Big news today from @HubSpot. @dharmesh announced ChatSpot, an AI tool that builds ChatGPT-like functionality right into your HubSpot CRM. A few key takeaways we highlight in the blog post:
1. This is worth paying attention to.
2. But itβs going to create https://t.co/jgo4feXSJ5β¦ https://t.co/u5CbsvTIZC
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Offshore
Video
Rive
RT @LauKitton: Testing the Lottie to @rive_appπ nested artboards properly.
Just drag and drop the json file from the assets panel to an already created artboard and boom, nested instantly!...here's a quick video: https://t.co/xfzZM3iT2G
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RT @LauKitton: Testing the Lottie to @rive_appπ nested artboards properly.
Just drag and drop the json file from the assets panel to an already created artboard and boom, nested instantly!...here's a quick video: https://t.co/xfzZM3iT2G
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Offshore
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Jim Fan
RT @Jeande_d: Chain of Thought Papers
A fantastic collection of papers on chain of thought(CoT). CoT is a method used for getting the most of LLMs where we prompt them with series of reasoning steps. We have seen numerous examples that shows that CoT actually works.
https://t.co/qxDm4Or5Yg https://t.co/z9see5gbYU
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RT @Jeande_d: Chain of Thought Papers
A fantastic collection of papers on chain of thought(CoT). CoT is a method used for getting the most of LLMs where we prompt them with series of reasoning steps. We have seen numerous examples that shows that CoT actually works.
https://t.co/qxDm4Or5Yg https://t.co/z9see5gbYU
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Offshore
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CoffeeVectors
RT @weavinglightart: It's not morning anymore by any stretch of the imagination...but it is somewhere! So GM! https://t.co/53XFPDyUHN
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RT @weavinglightart: It's not morning anymore by any stretch of the imagination...but it is somewhere! So GM! https://t.co/53XFPDyUHN
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Offshore
GIF
CoffeeVectors
RT @Kdawg5000: More work making a video with stable diffusion. This was an attempt to Disney/Pixar a person. No EbSynth was used, all done in SD. Has a few bugs I could fix, but proof of concept works. π #stablediffusion https://t.co/MqYByKm1Bh
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RT @Kdawg5000: More work making a video with stable diffusion. This was an attempt to Disney/Pixar a person. No EbSynth was used, all done in SD. Has a few bugs I could fix, but proof of concept works. π #stablediffusion https://t.co/MqYByKm1Bh
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Offshore
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CoffeeVectors
RT @_Lost_letters_: Spiritual connection #DALLE2exp #dalle2 https://t.co/VP9j10nQRX
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RT @_Lost_letters_: Spiritual connection #DALLE2exp #dalle2 https://t.co/VP9j10nQRX
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Offshore
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CoffeeVectors
RT @clearlynotasimp: The new experimental DALLE is insanely good at generating faces. Just look at those damn eyes! @OpenAI #DALLE2exp https://t.co/nCCzLfYPzr
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RT @clearlynotasimp: The new experimental DALLE is insanely good at generating faces. Just look at those damn eyes! @OpenAI #DALLE2exp https://t.co/nCCzLfYPzr
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Offshore
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Benj Edwards
RT @nearcyan: referring to AI models as "just math" or "matrix multiplication" is as uselessly reductive as referring to tigers as "just biology" or "biochemical reactions" https://t.co/a8HQ6Ttyav
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RT @nearcyan: referring to AI models as "just math" or "matrix multiplication" is as uselessly reductive as referring to tigers as "just biology" or "biochemical reactions" https://t.co/a8HQ6Ttyav
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