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Some Thoughts on AI Agents
With the fast growth of agentic AI systems, I see a lot of misconceptions, among AI enthusiasts, founders, and even investors. Many think that LLMs and AI agents are the same thing. But calling an LLM via API or building a custom model isn’t the same thing of creating an agent.
Yes, LLMs are a core component, but agents require additional capabilities, such as:
- Planning: The system can break down tasks to reach a goal.
- Memory: The system can leverage short-term memory (e.g., prompt engineering) and long-term memory (e.g., RAG).
- Tool use: The system can interact with external tools (APIs) to execute actions.
If one of these elements is missing, you’re probably not working with a true AI agent. In simple words, an AI agent can make decisions, that often you can’t even predict, to achieve a goal.
At @BrianknowsAI, our team has built various features, the most known being the "send transaction" one, which executes transactions based on natural language queries. Due to the high-stakes nature of this domain (where errors could mean financial loss), it’s critical we understand how this feature behaves. The current version of Brian is indeed an intent recognition engine, that understands user intent and allows him/her to execute transactions with one click.
For example, if you ask Brian to "swap 5 USDC for WETH," it will either recognize the intent, parse it correctly, and run the transaction, or it will fail gracefully (nothing happens). Brian doesn’t make independent decisions or perform other transactions because he "thinks" that other actions could benefit the user in reaching his/her goal.
This makes Brian an excellent third-party API for integrating with your AI agent system.
Recently, my co-founder @orbuloeth demonstrated how you can create such an agent in just a few lines of code https://t.co/EFoD6579R3.
Why you should use Brian in your AI Agent system?
Due to the time-consuming reasoning breakdown that these agents perform, it's essential that the tools they use are both fast and reliable, especially if your goal is to create a viable product for the market.
As Lilian Weng says: "Current agent system relies on natural language as an interface between LLMs and external components such as memory and tools. However, the reliability of model outputs is questionable, as LLMs may make formatting errors and occasionally exhibit rebellious behavior (e.g. refuse to follow an instruction). Consequently, much of the agent demo code focuses on parsing model output."
At Brian, we're optimizing our intent recognition engine with a custom web3 domain- specific LLM, allowing faster, more accurate parsing for web3 contexts than larger models like ChatGPT. This means more speed and reliability.
When Should You Invest in an AI Agent Project?
As mentioned, an AI agent is more than just an LLM. If someone claims they have the best agent, ask for evidence. While there are benchmarks for LLMs (e.g., https://t.co/O1fl5cquCJ), there’s no universal benchmark for agents. The best signal that a team is worth your time? Ask questions such as: Do you have data to demonstrate your agent performs better than others? Do you have a plan to show the improvement of your system over time? Some slogans on a landing page are not enough, it's just believing in the words of some AI agent expert...
📣 Thrive Metis Startathon has launched with over $200K 👀 in Metis available for builders!
👉 Join our kickoff space tomorrow: https://t.co/WZDpILNNgn
Startathon is a global grants program designed to bridge the gap between a hackathon and an accelerator.
For more info, hit ▶️ and then read the thread below.
🧵 1/4
Holders of the Infinite Rainbows NFT can now redeem Stylus merch!
Burn your NFT to redeem both a cap and plushie only at https://t.co/QvwhsyG5RP.
Details:
- 5,000 total redemptions
- First come first serve, one per wallet
- Redemption period ends Oct 13
- Shipping fees apply
🚨 Consumer Crypto Grants by @ThrivePolygon is live 🚨
this season aims to provide $800,000 in MATIC grants for consumer crypto builders on @0xPolygon.
👉 https://t.co/jnx09ySHcO
these grants are reserved for projects that fall into the following categories:
1. Gamified commerce
2. Decentralized social
3. NFT innovation
4. Content co-creation
5. Digital/physical intersections
6. Scenecoins/distributed communities
7. AI/blockchain intersections
8. Gaming/autonomous worlds
if you're a builder in this space and want to bring your talents to the Polygon ecosystem, check out Thrive Polygon and apply before July 1 ⌛️
p.s. 👀 — earn MATIC rewards for completing contributions as simple as following @thrivepolygon, liking and RTing this post, and tagging 3 friends.
p.p.s 🥰-- @thriveprotocol is proud to have been selected as the first grants allocator for Season 01 of the Polygon Community Grants Program!
Shoutout to all the @0xPolygonEco projects! 🎉
Let your community create awesome content in seconds!
As one of @ThrivePolygon Consumer Crypto Grants Program participants, 3look is offering YOU and your community free integration and access to:
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Level up your meme game! 🚀