mdarhri00/named-entity-recognition
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Isabella Bicalho Frazeto
bisnotforbella
AI & ML interests
Computer Vision, Machine Learning
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Spent the weekend testing out some prompts with 🕵️♂️Mystery Bot🕵️♂️ on my mobile... exciting things are coming soon for the following languages:
🌐Arabic, Chinese, Czech, Dutch, English French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese!🌐
🌐Arabic, Chinese, Czech, Dutch, English French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese!🌐
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Fantastic Beasts (*Hallucinations*) and Where to Find Them 🔎🧌
This paper breaks down LLM hallucinations into six different types:
1️⃣ Entity: Involves errors in nouns. Changing that single entity can make the sentence correct.
2️⃣ Relation: Involves errors in verbs, prepositions, or adjectives. They can be fixed by correcting the relation.
3️⃣ Contradictory: Sentences that contradict factually correct information.
4️⃣ Invented: When the LLM generates sentences with concepts that don't exist in the real world.
5️⃣ Subjective: When the LLM generates sentences influenced by personal beliefs, feelings, biases, etc.
6️⃣ Unverifiable: When the LLM comes up with sentences containing information that can't be verified. E.g., Personal or private matters.
The first two types of hallucinations are relatively easy to correct, given that we can rewrite them by changing the entity or relation. However, the other four would mostly need to be removed to make the sentence factually correct.
Paper: Fine-grained Hallucination Detection and Editing for Language Models (2401.06855)
This paper breaks down LLM hallucinations into six different types:
1️⃣ Entity: Involves errors in nouns. Changing that single entity can make the sentence correct.
2️⃣ Relation: Involves errors in verbs, prepositions, or adjectives. They can be fixed by correcting the relation.
3️⃣ Contradictory: Sentences that contradict factually correct information.
4️⃣ Invented: When the LLM generates sentences with concepts that don't exist in the real world.
5️⃣ Subjective: When the LLM generates sentences influenced by personal beliefs, feelings, biases, etc.
6️⃣ Unverifiable: When the LLM comes up with sentences containing information that can't be verified. E.g., Personal or private matters.
The first two types of hallucinations are relatively easy to correct, given that we can rewrite them by changing the entity or relation. However, the other four would mostly need to be removed to make the sentence factually correct.
Paper: Fine-grained Hallucination Detection and Editing for Language Models (2401.06855)
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🚀Gradio Notebook (beta) is here! A custom component that deploys an interactive notebook UX on your Hugging Face space 🤗
➤ Deploy a Space in minutes without writing any UI code.
➤ Use a combination of text, image, and audio models in a single space
➤ Interact with models in a familiar notebook UI
➤ Shareable URL for model outputs to share with friends
👉 Check out the Space: lastmileai/gradio-notebook-template
Demo video: https://youtu.be/FlwINB9RmKk
Repo: https://github.com/lastmile-ai/aiconfig/tree/main/gradio-notebook
Docs: https://aiconfig.lastmileai.dev/docs/gradio-notebook
Gradio Notebook was made possible thanks to Gradio 4.0, which introduced the ability for developers to create their own custom components and use them in Gradio apps.
Seeking feedback so please try it out and let us know how to improve the experience, both for space creators and consumers!
➤ Deploy a Space in minutes without writing any UI code.
➤ Use a combination of text, image, and audio models in a single space
➤ Interact with models in a familiar notebook UI
➤ Shareable URL for model outputs to share with friends
👉 Check out the Space: lastmileai/gradio-notebook-template
Demo video: https://youtu.be/FlwINB9RmKk
Repo: https://github.com/lastmile-ai/aiconfig/tree/main/gradio-notebook
Docs: https://aiconfig.lastmileai.dev/docs/gradio-notebook
Gradio Notebook was made possible thanks to Gradio 4.0, which introduced the ability for developers to create their own custom components and use them in Gradio apps.
Seeking feedback so please try it out and let us know how to improve the experience, both for space creators and consumers!
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example of instruments for transfer leaning
#71 opened 11 months ago
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bisnotforbella
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