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"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output Michael Xieyang Liu, Frederick Liu, ...
YouTube-ACM SIGCHI
4週間前In this video, we will see how to preprocess a dataset for a causal language modeling task. This video is part of the Hugging Face course: ...
YouTube-HuggingFace
2021/11/15Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-15th-2021-a68f599395e3428c878dc74c5f0e1124 0:03 Outline ...
YouTube-Connor Shorten
2021/07/15動画の見どころ1/10枚目 Outline and Quick Takeaways
動画の見どころ2/10枚目 Generation Examples
動画の見どころ3/10枚目 Deep Learning with Code Data
動画の見どころ4/10枚目 Language Modeling
動画の見どころ5/10枚目 Unit Test Evaluation
動画の見どころ6/10枚目 Repeated Sampling
動画の見どころ7/10枚目 Datasets Used for Codex
動画の見どころ8/10枚目 Results
動画の見どころ9/10枚目 Broader Impact
動画の見どころ10/10枚目 Quick Thoughts on Augmented Intelligence
Learn how to maximize developer productivity by leveraging large language models for rapid code refactoring. Large language models like ...
YouTube-Canonical Ubuntu
2023/08/10動画の見どころ1/7枚目 Introduction
動画の見どころ2/7枚目 Challenges of refactoring large portions of legacy code
動画の見どころ3/7枚目 LLM code refactoring loop
動画の見どころ4/7枚目 Prompt engineering for optimal LLM results
動画の見どころ5/7枚目 Final Prompt
動画の見どころ6/7枚目 Automating refactoring at scale with scripting
動画の見どころ7/7枚目 Integrating LLMs into the development workflow
A slow description of the paper "Evaluating Large Language Models Trained on Code" by M. Chen et al. posted on arxiv in July 2021.
YouTube-Samuel Albanie
2022/07/28Evaluating Large Language Models Trained on Code (Codex)
Outline
A language model for code
Evaluation framework
Nuances of pass@k estimation
Evaluation details
Prompting for evaluation
Loss scaling and temperature
Sampling heuristics and BLEU score
Results on the APPS dataset
Code generation examples
Supervised Fine-tuning: Results
Docstring generation
Limitation: sample efficiency
Limitation: degradation with docstring length
Broader Impacts and Hazard Analysis
Misalignment
Misalignment Results
Bias Analysis
Bias probes
Economic Impact Analysis
Security implications
Insecure code generation
Risk Mitigation
Summary
2023 LLVM Developers' Meeting https://llvm.org/devmtg/2023-10 ------ Novel Data Layout Optimizations in BiSheng Compiler Speaker: Ehsan ...
YouTube-LLVM
2024/01/10Michael will discuss how to write efficient and testable code using some of the modules in effect-ts. Effect-ts is a port of ZIO (Scala) in ...
YouTube-Prisma
2021/04/08動画の見どころ1/10枚目 Workshop overview
動画の見どころ2/10枚目 What is testable code
動画の見どころ3/10枚目 Intro
動画の見どころ4/10枚目 Why is it not a function?
動画の見どころ5/10枚目 Components of a function
動画の見どころ6/10枚目 Dependency Injection
動画の見どころ7/10枚目 Running the example
動画の見どころ8/10枚目 Generator functions
動画の見どころ9/10枚目 Retry policy
動画の見どころ10/10枚目 Conclusion
Previous Episodes: https://www.youtube.com/playlist?list=PLpM-Dvs8t0VY3Z6U756L08xySMlGdRrF8 References: - The BEAM Book ...
YouTube-Tsoding Daily
2023/12/19Announcements
Plans for Today
C code
Knocking Off Goalposts
Parsing Code Info
Generating the Code Section
Troubleshooting with Disassembler
Erlang Function Signatures
Getting Ahead of Myself
Empty Export Table
Instruction Format
Pushing Label
func_info
label_count and function_count
export bada:bada/0
Troubleshooting
Jumping to the Second Label
I don't need Elixir
You only need Vector and write() function
Generating Atom List
Generating Atoms Chunk
Collecting Function Labels
Successfully Compiled Module
Unhardcode input/output paths
Outro
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