Building Your First Recurrent Neural Network! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Building Your First Recurrent Neural Network
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ChatGPT Generates Citations Efficiently with Simple Instructions
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And it’s sufficiently legible that it only took one instruction and a rephrase to get ChatGPT to generate that citation for me, which is great because doing it by hand on a phone would be excessively painful.
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ChatGPT Sheet Guide: Master AI from Beginner to Expert
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The ChatGPT Sheet from Zero to Pro
Via @ingliguori #ChatGPT #AI #kenovy Secure your copy of The Digital Edge https://
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Infographic credit Superhuman -

MetNet-3: Neural Weather Forecasting Model 24-Hour Predictions
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1/ MetNet-3 – a SoTA neural weather model that extends the lead time range and variables of a predictive model that learns from both dense and sparse data sensors; makes predictions up to 24 hrs ahead for precipitation, wind, temperature,…https://t.co/9nz7ppVqSo
— DAIR.AI (@dair_ai) 5 novembre 20231/ MetNet-3 – a SoTA neural weather model that extends the lead time range and variables of a predictive model that learns from both dense and sparse data sensors; makes predictions up to 24 hrs ahead for precipitation, wind, temperature,…
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LLMOps Platforms Enable Flexible LLM Selection for Enterprises
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Companies will use LLMOps platforms such as Abacus to automate an end-to-end workflow. These platforms will offer a combination of open-source LLMs and closed-sourced APIs. Companies should be free to pick and choose an LLM based on cost, performance, and time to market. /15
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Smaller LLMs with RAG as cost-effective alternative to GPT-4
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Smaller and more efficient LLMs that have reasonably good reasoning capabilities can be fine-turned or complemented with RAG and incorporated into the workflow to automate these use cases. Using GPT-4 or some other very large LLM will become cost-prohibitive in these cases. /14
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Price-Competitive API Calls for General-Purpose LLM Use Cases
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General-purpose use-case embedded in a product or service For these, a vanilla API call to SOTA LLM is sufficient. Price will be the key consideration here and as long as the large LLM providers have very competitive prices, making simple calls to their APIs will work. /12
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Enterprise AI and LLM APIs: Two Classes of Business Use Cases
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Enterprise AI and LLM APIs The other big category of LLM use cases is businesses using these LLMs in their core products, services, and business processes. There are 2 classes of use cases in this space. /11
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General-Purpose vs. Specialized Tasks: When Fine-Tuning and RAG Matter
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It's important to draw the distinction between general-purpose tasks like Python code generation vs. specialized tasks like having knowledge of the Abacus platform. The former typically DOES NOT require fine-tuning or RAG, while the latter requires some custom work. /8
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Elon Musk xAI announces Grok beta chatbot with real-time Twitter data
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Looks like we’re in for some major news in AI this week. Elon Musk and @xai are kicking it off with the announcement of a “very early beta” of Grok, their new chatbot that is designed to be snarky and has real-time access to Twitter / X data. Twitter Premium+ subscribers