5 Introduction to Image Generation https://
cloudskillsboost.google/course_templat
es/541
… 6 Encoder-Decoder Architecture https://
cloudskillsboost.google/course_templat
es/543
… 7 Attention Mechanism https://
cloudskillsboost.google/course_templat
es/537
… 8 Transformer Models and BERT Model https://
cloudskillsboost.google/course_templat
es/538
… 9 Create Image Captioning Models https://
cloudskillsboost.google/course_templat
es/542
…
LLMS
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Advanced AI Learning Path: Image Generation to Transformer Models
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Four Google Cloud Courses on Generative and Responsible AI
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1. Introduction to Generative AI
https://cloudskillsboost.google/course_templates/536 2. Introduction to Large Language Models
https://cloudskillsboost.google/course_templates/539 3. Introduction to Responsible AI
https://cloudskillsboost.google/course_templates/554 4. Generative AI Fundamentals
https://cloudskillsboost.google/course_templates/556 -
Large Language Models for Zero-Shot Time Series Forecasting
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Large Language Models Are Zero-Shot Time Series Forecasters Gruver et al.: https://
arxiv.org/abs/2310.07820 #NeurIPS2023 #LargeLanguageModels #TimeSeries -
LLM Growth: From Zero in January to 2000 Today
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In January no LLMs. Today 2k øn hf llm lb. so yeah , i cant define soon
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MiniGPT-v2: Advanced Vision-Language Model Capabilities
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👌Amazing work – MiniGPT-v2.
— Dr. Debashis Dutta (@debashis_dutta) 14 octobre 2023
It can perform many complex vision-language and visual grounding tasks with simple interaction👈
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🔗Demo & Project: https://t.co/u8zWBMGTjs
Team ✨️@garvinchen2 @tikgiau @xiaoqian_shen @lix709 @zechunliu @PengchuanZ Raghuraman… https://t.co/25HaG6RhBWAmazing work – MiniGPT-v2.
It can perform many complex vision-language and visual grounding tasks with simple interaction ****************
Demo & Project: http://
minigpt-v2.github.io
Team @garvinchen2 @tikgiau @xiaoqian_shen @lix709 @zechunliu @PengchuanZ
Raghuraman -
Comprehensive Guide to Large Language Models Technical Details
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Large Language Models (in 2023) Excellent talk on LLMs that highlights important technical details related to LLMs in <50 minutes. From scaling, pre-training to post-training techniques such as instruction tuning and reward modelling. This is a recommended watch for everyone
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GPT unexpectedly repeated initial prompt in subsequent replies
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It's actually never done that before – I put it in the first prompt, then GPT put it in following replies for some reason.
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Larger proprietary models outperform open source alternatives
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Ya, that's true. Plus larger models than the OSS models.
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Large Language Models in 2023: Comprehensive Overview and Summary
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Amazing talk by @hwchung27 at Seoul National University *********************
Title of the talk “Large Language Models (in 2023)”. This was an ambitious attempt to summarize our exploding field.
************************** Video: http://
youtu.be/dbo3kNKPaUA
Slides: -
GPT-4 Code Interpreter Tool for Math and Data Analysis
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1st place is an implementation of a code interpreter using GPT-4 by pcalc. This tool has a wide range of use cases, from solving math problems to data analysis and visualization, including file upload and image output support. https://
poe.com/pc-GPT4-CodeIn
trprtr
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