How do you think having more tools will alter the landscape and how we use AI in the future?
TOOLS
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Grok UI Features: Multi-task, Branching, and Code Integration
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Sneak peaks on the UI in Grōk by @TobyPhln founding member at @xai
— Linus ✦ Ekenstam (@LinusEkenstam) 5 novembre 2023
Some powerful things here:
→ Multi-task
→ Branch conversations
→ Open code snippets in VS Code
→ Open as markdown
→ Regular mode/fun mode
→ Easter Eggs
pic.twitter.com/IsiAomObx6Sneak peaks on the UI in Grōk by @TobyPhln founding member at @xai Some powerful things here: → Multi-task → Branch conversations
→ Open code snippets in VS Code → Open as markdown
→ Regular mode/fun mode → Easter Eggs -
Grok emerges as strong OpenAI competitor benefiting consumers
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I absolutely believe Grōk will be a strong competitor to OpenAI. The main winner here is us, the commons, the end consumer. We will have so many powerful tools to pick from.
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ChatGPT Introduces Custom Bot Creation Feature
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A rumored new version of ChatGPT will allow you to create your own “bot”: → Name it
→ Share → Produce a simple welcome message
→ Upload related reference files
→ Define plugins and actions like web-browsing, DALL-E, code interpreter Tomorrow we will know for real -
Building Your First Recurrent Neural Network
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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://
geni.us/First-RNN -
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://
bit.ly/3u4pILl
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