"Nvidia is the undisputed leader of AI chips… but as its competitors build out their own AI efforts, that’s all but guaranteed to decline… upstarts like Groq have shown advantages on certain models and workflows for LLM inference, today.” http://
groq.link/z
LLMS
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Groq Challenges Nvidia’s AI Chip Dominance in LLM Inference
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Building AI Agents with Human-Like Abilities Using Multiple LLMs
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We built a platform where users can build agents to solve tasks with human-like abilities or even better. 1. Data sources connected to @abacusai 2. An ML optimization model
3. Any LLM, including GPT-3.5, GPT-4, Llama 2, Claude, etc. -
Enterprise ChatGPT: Real-World LLM Use Cases Explained
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What does "#ChatGPT for Your Enterprise" really mean? Check out this new article on @BigDATAwireNews by @predibase cofounder @devvret_rishi to get the lowdown on the top real-world #LLM use cases that we're seeing at customers.
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Groq Day Event: Language Processing Unit Demo and LLM Performance
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Join us at #GroqDay to learn more about the world’s first Language Processing Unit™, see a live demo of LLMs running on a Groq LPU™, and why fluid and fluent performance matters. Register at http://
groq.link/groqday5 -
LangChain Framework Course: Building LLM-Powered Applications
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Building LLM-powered applications can be complex at first. @DeepLearningAI_ has been impressed with the LangChain framework, and decided to partner with them to demystify this topic in a short course. @AndrewYNg @hwchase17 Start learning today for free:
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Clasping Technique Reduces Token Count to One
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We have a handy trick called clasping that makes just one token..
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Exploring the Peculiar Landscape of Large Language Models
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Catching up on the weird world of LLMs https://
bit.ly/3qfMNJM #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Stanford XCS224U: Natural Language Understanding Course 2023
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Stanford XCS224U: Natural Language Understanding, 2023 Excellent lectures on natural language understanding. The course covers a wide range of topics including domain adaptation for supervised sentiment, retrieval augmented in-context learning, NLP techniques/methods, etc…
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Audio Data Analysis with AssemblyAI Document Loader
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There's a lot of really cool data in audio files Big shout out to @patloeber and our friends at @AssemblyAI for adding a document loader This allows you to easily pull in and analyze (summarize, question) audio data!
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Belebele: Multilingual Benchmark for High and Low-Resource Languages
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Belebele is composed of carefully crafted multiple-choice questions & answers based on FLORES-200 passages. This work enables the evaluation of NLP systems and large language models in high and low-resource languages. More details in the paper