Some facts about #ChatGPT
Via @ingliguori #softwaredevelopment #FutureOfWork #Python #javascript #html5 #DataScience #AI #DeepLearning #MachineLearning #DEVCommunity #100DaysOfCode #flutterdev #NeuralNetworks #DigitalTransformation #DataScientists #artificalintelligence #chatbot
LLMS
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Facts about ChatGPT and Its Impact on Software Development
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Transformer Models: Introduction and Comprehensive Catalog Overview
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Transformer models: an introduction and catalog A super concise and brief overview of almost all popular Transformer models. Written well and provide pointers for recent advances in Transformer model architectures. https://
arxiv.org/abs/2302.07730 -
Perplexity AI Mission: Steps and Technological Advances
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The mission of @perplexity_ai is explained well in @techreview by @strwbilly. Steps taken so far:
1. Sources for every query
2. Popular queries
3. Permalinking threads
4. Entity linking
5. Source curation for truthfulness
6. Browser extension for domain/page focused search -
Bing performs multiple sequential searches from one prompt
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Example showing Bing can perform multiple sequential searches, with LLM response generation in between, from a single user prompt:
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Daily Python, Machine Learning and Language Models Tutorials
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Every day, I share tutorials and simplify complex topics around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.
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Extensions use InstructGPT, not ChatGPT in API
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Don't be fooled. The vast majority of extensions, automations, sites that promise to automate or use #ChatGPT for certain tasks actually use InstructGPT (max text-davinvi-003) Simply because ChatGPT is not currently available in API.
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Open Source Solution Replicates ChatGPT Training Process Efficiently
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Open Source Solution Replicates ChatGPT Training Process! Ready To Go With Only 1.6GB GPU Memory And Gives You 7.73 Times Faster Training! https://
syncedreview.com/2023/02/22/ope
n-source-solution-replicates-chatgpt-training-process-ready-to-go-with-only-1-6gb-gpu-memory-and-gives-you-7-73-times-faster-training/
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OpenAI’s Foundry: GPT DV 32k model could generate 8,000+ words per prompt
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OpenAI's "Foundry" product brief: DV 32k model instance could mean this GPT model is capable of producing 8,000+ words per prompt
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Cohere Launches Summarize Beta and Seeks Community Feedback
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But that's not all—Cohere Summarize Beta is just the beginning. At Cohere, we're constantly working to improve accuracy and expand the capabilities of our LLMs. Share your feedback with the Cohere community on Discord: https://
discord.gg/co-mmunity 4/4 -
Cohere Launches Summarize Beta Endpoint for Text
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Start summarizing! Cohere just launched Cohere Summarize Beta, a revolutionary new endpoint for text summarization! Matthias Gallé and Sheena Hillier spill the tea in their latest blog post. 1/4
Don't miss out: https://
txt.cohere.ai/summarize-beta/