It’s mighty powerful, especially if you do a good job of describing who your customer is. The way this thing can infer information is wild.
AUTOMATION
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ChatGPT Reformatting: Quick Wins with Minimal Knowledge Requirements
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“ChatGPT reformatting” requires minimal world knowledge, are instantly verifiable, and can reliably save minutes of work multiple times a day. The reformat can include contextual inference, which saves even more time at the cost of a bit more risk:
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Robotic Buoy Rescues Drowning Victims Without Endangering Rescuers
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Innovation at its best!
— Pascal Bornet (@pascal_bornet) 3 janvier 2023
This lifesaving #robotic buoy can bring a drowning person to safety without endangering the rescuer
It weighs 13kg, navigates at a top speed of 15km/h, and can operate for 30 minutes under any conditions#innovation #technology #tech4good pic.twitter.com/CRz38IUiyeInnovation at its best! This lifesaving #robotic buoy can bring a drowning person to safety without endangering the rescuer It weighs 13kg, navigates at a top speed of 15km/h, and can operate for 30 minutes under any conditions #innovation #technology #tech4good
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Airlines lag in AI-driven crew and passenger matching systems
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Airlines generally have done a better job of maintenance and repair operations, but are much further behind in “the human aspect” of matching up crews, equipment, and passengers, says @rwang0 #SouthwestAirlines #CIO
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LangChain Core Modules: Prompts, LLMs, Chains, Agents
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Modules The main modules of functionality that make up LangChain, consisting of: – Prompt Templates
– LLMs
– Utilities (search, vector DBs, etc)
– Chains
– Agents
– Memory -
LangChain Revamps Documentation with New Sections
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New Year, New Docs In an effort to make LangChain easier-to-use than ever before, we've revamped our docs. Sections include: Getting Started
Modules
[NEW] Use Cases
[NEW] Ecosystem
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Most Impactful Emerging Technologies for Business Predicted
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Do you agree with #chatgpt3? >>> What do you predict will be the most impactful #EmergingTech on business? >>> #AI #Analytics #Automation #ImageRecognition #NLP >>> #CES2023
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Abacus AI Simplifies ML Deployment with End-to-End Solutions
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The average machine learning engineer spends 98% of their time stitching services together. At @abacusai
, we take data from you, train a model, deploy it and give you an endpoint you can use immediately. Less complexity → More time to focus on what truly matters. -
Public Backlash Against Generative AI: Jobs and Training Data
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9. Public Kickback: The furore about ‘AI art’ is the 1st of many significant storms. Public controversy about Generative AI will see the emergence of increasingly vocal and organised political movements against it. Training data and the automation of jobs will be lightning rods.
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Generative AI Adoption: Early Movers Cut Costs Optimize
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6. Business Transformation: Generative AI will become a buzzword for businesses. Early adopters will implement Generative AI systems to cut costs and optimise processes.