EasyEdit
Elixir
EasyEdit | Elixir | |
---|---|---|
6 | 133 | |
1,435 | 23,450 | |
9.9% | 1.6% | |
9.8 | 9.8 | |
5 days ago | 3 days ago | |
Jupyter Notebook | Elixir | |
MIT License | Apache License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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EasyEdit
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ChatGPT provides false information about people, and OpenAI can't correct it
> The article talks about OpenAI being unwilling to correct errors. But they just can’t.
There are actually several algorithms intended to allow fact editing in LLMs: https://github.com/zjunlp/EasyEdit?tab=readme-ov-file#curren...
They don't work perfectly (e.g. "Tim Cook is CEO of Apple" and "The CEO of Apple is Tim Cook" for some reason have to be edited separately) but there are certainly techniques available.
- Looking for Paper about LLM Fine Tuning for specific topic / Alignment Paper
- Is it possible to instill new facts and knowledge during the fine-tuning
- EasyEdit: An Easy-to-Use Knowledge Editing Framework for Large Language Models
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Meta to release open-source commercial AI model
> It's not like Meta can remove these books from the training set without retraining from scratch (or at least the last checkpoint before they were used).
They probably can:
https://github.com/zjunlp/EasyEdit
> I wonder if this is going to cause issues down the road.
There are some popular Stable Diffusion models, being run in small businesses, that I am certain have CSAM in them because they have a particular 4chan model in their merging lineage.
... And yet, it hasn't blown up yet? I have no explanation, but running illegal weights seems more sustainable than I would expect.
- Funnily enough AI models must follow privacy law including right to be forgotten
Elixir
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Perfect Elixir: Environment Setup
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS.
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Reliability in Legacy Software
But regardless of their reasons, they'll note that the service is easily meeting its SLOs. It was written in a highly performant, if idiosyncratic language, and uses patterns which give it a high level of resilience and the ability to recover from many situations automatically. The service is steady as a rock, and left to its own devices will more or less chug along indefinitely once deployed.
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Top Paying Programming Technologies 2024
6. Elixir - $96,381
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What's New in Elixir 1.16
The Elixir 1.16 release candidate is out now, and it comes with some compelling improvements to diagnostics, documentation, and a few other enhancements that make Elixir an even better choice for developers.
- Definindo item ativo no menu no Phoenix Framework usando Short-circuit Evaluation
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Elixir v1.16 Released
You can find more examples in the PR https://github.com/elixir-lang/elixir/pull/13106.
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Meet entr, the standalone file watcher
As you might have guessed, one of the main use cases for entr is to rerun tests whenever files change. I'm an Elixir engineer, and I use entr to run mix test continuously whenever I save an Elixir file.
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Good Bye CRUD APIs, Hello Sync: Realtime PostgreSQL with ElectricSQL
The diagram demonstrates the communication pathway between the browser and the Postgres database through the Electric service. Essentially, Electric Sync Service, an Elixir application, orchestrates active-active data replication between the user's local DB and Postgres.
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Building Apps with Tauri and Elixir
The Elixir programming language is no stranger to desktop applications as the language actually supports building them out of the box. It uses wxWidgets: a C++ library that lets developers create applications for Windows, macOS, Linux and other platforms with a single code base. But wxWidgets has a very complex API, and doesn’t solve issues that usually come with desktop applications around packaging.
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Show HN: Podsee – AI tool for podcast listeners
Hi everyone, I just launched Podsee(https://pods.ee) for podcast listeners, lovers. You can search and listen to podcasts at Podsee. What makes it different is that you can get the AI transcript for an episode.
It started as a side project after I resigned my job one year ago. As a programmer, I love Elixir (http://elixir-lang.org/) and Phoenix LiveView(https://github.com/phoenixframework/phoenix_live_view), and want to make a product with it. So I build Podsee.
I'm planning to add more AI features to it, like summarize the episode audio, episode to comics, etc.
I'd love to invite you all to try out the product and would appreciate hearing your feedback! Thanks!