How to create successful AI agent data?

By: blockbeats|2024/12/12 16:15:01
0
Share
copy
Original author: jlwhoo7, Crypto Kol
Original translation: zhouzhou, BlockBeats

Editor's note:This article shares tools and methods that help improve the performance of AI agents, with a focus on data collection and cleaning. A variety of no-code tools are recommended, such as tools for converting websites to LLM-friendly formats, and tools for Twitter data crawling and document summarization. Storage tips are also introduced, emphasizing that the organization of data is more important than complex architecture. With these tools, users can efficiently organize data and provide high-quality input for the training of AI agents.

The following is the original content (the original content has been reorganized for easier reading and understanding):

We see many AI agents launched today, 99% of which will disappear.

What makes successful projects stand out? Data.

Here are some tools that can make your AI agent stand out.

How to create successful AI agent data?

Good data = good AI.

Think of it like a data scientist building a pipeline:

Collect → Clean → Validate → Store.

Before optimizing your vector database, tune your few-shot examples and prompt words.

Image Tweet Link

I view most of today’s AI problems as Steven Bartlett’s “bucket theory” — solving them piece by piece.

First, lay a good data foundation, which is the foundation for building a good AI agent pipeline.

Here are some great tools for data collection and cleaning:

Code-free llms.txt generator: convert any website to LLM-friendly text.

Image Tweet Link

Need to generate LLM-friendly Markdown? Try JinaAI's tool:

Crawl any website with JinaAI and convert it to LLM-friendly Markdown.

Just prefix the URL with the following to get an LLM-friendly version:
http://r.jina.ai<URL>

Want to get Twitter data?

Try ai16zdao's twitter-scraper-finetune tool:

With just one command, you can scrape data from any public Twitter account.

(See my previous tweet for specific operations)

Image tweet link

Data source recommendation: elfa ai (currently in closed beta, you can PM tethrees to get access)

Their API provides:

Most popular tweets

Smart follower filtering

Latest $ mentions

Account reputation check (for filtering spam)

Great for high-quality AI training data!

For document summarization: Try Google's NotebookLM.

Upload any PDF/TXT file → let it generate few-shot examples for your training data.

Great for creating high-quality few-shot hints from documents!

Storage Tips:

If you use virtuals io's CognitiveCore, you can upload the generated file directly.

If you run ai16zdao's Eliza, you can store data directly into vector storage.

Pro Tip: Well-organized data is more important than fancy schemas!

Original link

-- Price

--

You may also like

SpaceX vs Tesla vs xAI: Which Elon Musk Trade Has the Biggest Upside in 2026?

SpaceX's IPO is days away, Tesla holds over 11,000 BTC, and xAI is betting big on AI. Here's how traders are comparing the three biggest Musk narratives.

OpenAI Reveals It Has Confidentially Submitted an S-1 to the SEC, Keeping the Door Open for a Future IPO

On June 9, according to an OpenAI announcement, the company recently confidentially submitted a draft S-1 registration statement to the U.S. Securities and Exchange Commission (SEC), beginning the preliminary compliance process for a potential initial public offering. OpenAI said it chose to disclose this proactively because it expected the news might leak; however, the company has not yet set a specific listing timeline, and related arrangements may still take some time.

Latest research from 13 top universities including Cornell University: The current state, challenges, and misconceptions of the fusion of Crypto and AI

The combination of AI and crypto is still in its early stages, with both serving as complementary "middleware": AI translates human intentions into executable programs, while cryptographic technology provides verifiable and tamper-proof guarantees for computational processes and results. In the dire...

Deconstructing Anthropic: The Best AI Company, Possibly Also a Type of Organizational Invention

Instead of competing with ambition, focusing on restraint, how does Anthropic leverage extreme strategic focus and an "counterintuitive" geek culture to counterattack OpenAI on the AI battlefield?

Apollo and Blackstone Reportedly Back $35 Billion Anthropic Chip Financing as Deal Details Remain Unclear

On June 9, according to currently available news alerts, Apollo and Blackstone Group participated in a $35 billion financing for an Anthropic “chip project.” Based on the original wording of the report, the funding has already been raised, but public information remains limited. The financing structure, use of proceeds, project entity, and whether Apollo and Blackstone participated through equity, debt, or project financing have not yet been disclosed.

Humanity Protocol Security Incident Escalates: More Than $31 Million Stolen From Related Addresses as Attacker Continues Selling H for ETH

On June 9, according to monitoring by Onchain Lens, more than $31 million has been stolen from addresses linked to Humanity Protocol, and the attack is still ongoing, with the hacker continuously swapping H tokens for ETH. Project founder Terence Kwok later confirmed the security incident on X, saying the issue involved a private key leak.

Popular coins

Latest Crypto News

Read more
iconiconiconiconiconiconicon
Customer Support:@weikecs
Business Cooperation:@weikecs
Quant Trading & MM:bd@weex.com
VIP Program:support@weex.com