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mphite726

AI & ML interests

test ai

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reacted to m-ric's post with 👀 about 2 months ago

🗞️ 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝟮𝟬𝟮𝟰: 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗲𝗮𝘁𝗶𝗻𝗴 𝘂𝗽 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗔𝗴𝗲𝗻𝘁𝘀 𝗿𝗮𝗺𝗽 𝘂𝗽 𝘁𝗼 𝟭𝟮% 𝗼𝗳 𝘂𝘀𝗲-𝗰𝗮𝘀𝗲𝘀, 𝗼𝗽𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 𝗺𝗮𝗸𝗲 𝟭𝟵% 𝗼𝗳 𝘂𝘀𝗮𝗴𝗲 Menlo Ventures surveyed 600 enterprise IT decision-makers for their 2024 report. They reveal that AI spending surged to $13.8 billion this year, more than 6x the $2.3 billion spent in 2023! Companies are shifting from experimentation to serious implementation. 👷 Top enterprise use cases by adoption: ‣ Code copilots (51%) - GitHub Copilot hit $300M revenue run rate ‣ Support chatbots (31%) ‣ RAG (28%) ‣ Data extraction/transformation (27%) ‣ Meeting summarization (25%) 📈 Market dynamics: ‣ OpenAI's enterprise share dropped from 50% to 34% 👎 ‣ Anthropic doubled presence from 12% to 24% 🚀 ‣ Open-source makes up 19% of usage 🤗 😬 Implementation challenges: ‣ 26% failed due to unexpected implementation costs ‣ 21% failed due to data privacy issues ‣ 18% failed due to disappointing ROI ‣ 15% failed due to hallucinations Read the full report here 👉 https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/

reacted to clem's post with 🚀 about 2 months ago

I've been in Brazil for 10 days now 🇧🇷🇧🇷🇧🇷 I've been surprised by the gap between the massive number of people interested in AI (chatgpt adoption is crazy here) and the relatively low number of real AI builders - aka people and companies building their own AI models, datasets and apps. Lots of efforts needed across the world for everyone to participate, control and benefit this foundational technology, starting with open-source & multi-lingual AI, more access to GPUs & AI builder training for all!

reacted to jwu323's post with 🚀 about 2 months ago

We are excited to announce a new internal project, Rome, focused on advancing LLM reasoning. The code and accompanying paper will be released soon. Stay tuned!

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reacted to m-ric's post with 👀 about 2 months ago

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1084

🗞️ 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝟮𝟬𝟮𝟰: 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗲𝗮𝘁𝗶𝗻𝗴 𝘂𝗽 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗔𝗴𝗲𝗻𝘁𝘀 𝗿𝗮𝗺𝗽 𝘂𝗽 𝘁𝗼 𝟭𝟮% 𝗼𝗳 𝘂𝘀𝗲-𝗰𝗮𝘀𝗲𝘀, 𝗼𝗽𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 𝗺𝗮𝗸𝗲 𝟭𝟵% 𝗼𝗳 𝘂𝘀𝗮𝗴𝗲

Menlo Ventures surveyed 600 enterprise IT decision-makers for their 2024 report. They reveal that AI spending surged to $13.8 billion this year, more than 6x the $2.3 billion spent in 2023!

Companies are shifting from experimentation to serious implementation.

👷 Top enterprise use cases by adoption:
‣ Code copilots (51%)
- GitHub Copilot hit $300M revenue run rate
‣ Support chatbots (31%)
‣ RAG (28%)
‣ Data extraction/transformation (27%)
‣ Meeting summarization (25%)

📈 Market dynamics:
‣ OpenAI's enterprise share dropped from 50% to 34% 👎
‣ Anthropic doubled presence from 12% to 24% 🚀
‣ Open-source makes up 19% of usage 🤗

😬 Implementation challenges:
‣ 26% failed due to unexpected implementation costs
‣ 21% failed due to data privacy issues
‣ 18% failed due to disappointing ROI
‣ 15% failed due to hallucinations

Read the full report here 👉 https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/

reacted to clem's post with 🚀 about 2 months ago

Post

1981

I've been in Brazil for 10 days now 🇧🇷🇧🇷🇧🇷

I've been surprised by the gap between the massive number of people interested in AI (chatgpt adoption is crazy here) and the relatively low number of real AI builders - aka people and companies building their own AI models, datasets and apps.

Lots of efforts needed across the world for everyone to participate, control and benefit this foundational technology, starting with open-source & multi-lingual AI, more access to GPUs & AI builder training for all!

reacted to jwu323's post with 🚀 about 2 months ago

Post

1356

We are excited to announce a new internal project, Rome, focused on advancing LLM reasoning. The code and accompanying paper will be released soon. Stay tuned!

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