Tool Use with Command-R shows strong performance when evaluated against real-world tool use capabilities in a multi-turn conversational setting.
GENERATIVE AI
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Pure Storage at NVIDIA GTC24: GenAI RAG Demos and Exclusive Discount
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Don't miss @PureStorage at @NVIDIA #GTC24. Visit their Booth #1529. Attend their theater session. Talk with their experts. See their #GenAI RAG demos. Use this link for 20% OFF registration: https://
purefla.sh/3OYYnSn -
WorkArena: Web Agents for Knowledge Work Tasks
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WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Drouin et al.: https://
arxiv.org/abs/2403.07718 #ArtificialIntelligence #DeepLearning #MachineLearning -
Grammarly optimizes LLMs with NVIDIA AI solutions at GTC24
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At #GTC24, learn how @Grammarly used NVIDIA #AI solutions for optimizing #LLMs and deploying in multi-GPU environments. Join the session on March 20. https://t.co/5uhBTyVPM9 pic.twitter.com/J6QUz6Lxaj
— NVIDIA AI (@NVIDIAAI) 14 mars 2024At #GTC24, learn how @Grammarly used NVIDIA #AI solutions for optimizing #LLMs and deploying in multi-GPU environments. Join the session on March 20. https://
nvda.ws/48PhKER -
Gemini Ultra and Claude-3 Superior but OpenAI Dominates User Base
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Yep. Gemini Ultra and Claude-3 are both stellar products. Superior to GPT-4 in many cases. But when you look at the numbers, they have a tiny tiny fraction of the users OpenAI has.
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LLMs Misinformation: Why Users Mistake Them for Search Engines
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To most users, it isn't clear that LLMs don't work like search engines. This can lead to real issues when using them for vital, changing information. Frontier models make less mistakes, but they still make them. Companies need to do more to address users being misled by LLMs.
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AI Tools: Potential for Good and Bad Uses
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There's a lot of potential here, and like any AI tool, it's all about who is using it. Lots of good can be built with something like this. It also makes it easier to hack sites, create malware, and make other problems with the internet expand exponentially. The good guys and
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Devin AI Software Engineer: Beyond the Hype and Capabilities
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People are FREAKING OUT over Devin.
— Rob Lennon 🗯 | AI Whisperer (@thatroblennon) 14 mars 2024
While this AI software engineer can
• write and debug code
• pass engineering interviews
• do Upwork jobs…
that’s not what impresses me.
Here’s what you should take away from this launch:
So, to review:
Devin is an AI software… pic.twitter.com/Nr8rb5q4cSPeople are FREAKING OUT over Devin. While this AI software engineer can
• write and debug code
• pass engineering interviews
• do Upwork jobs… that’s not what impresses me. Here’s what you should take away from this launch: So, to review: Devin is an AI software -
Can LLMs Perform Latent Multi-Hop Reasoning on Pre-trained Data?
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LLMs are good at in-context reasoning; given a bunch of information in context, they can perform complex reasoning tasks and solve problems. But can they perform latent multi-hop reasoning on pre-trained data? Simply put, can LLMs connect and traverse through implicit knowledge
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Building STORM with LangGraph for Synthetic Wikipedia
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Building STORM with LangGraph Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking (STORM) is a recent paper from @EchoShao8899 et al offering a new approach for generating entirely synthetic Wikipedia-style pages. The basic algorithm is as