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- maybe use llama or a smaler cheaper modle for small stuff, f it just use gemini sma
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notes
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- Llama 70B is used for ai16z - suggested to be optimal for training character trading bots
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- Truth Terminal uses Claude Opus
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- nvm use 23 or nvm install
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cd docs
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code2prompt ./
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code2prompt src/
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- they use llama cloud for their bots
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- fork this so i can just work on my own and keep changes seperate
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- use claude and grok (by x)
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- gemini has a 2m context windwo
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- build our mods and community support, could be tutors
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- actions: predefined behaciours that agents can execut in reponse to messages, enabling them to perform and interact iwth external systems
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- clients act as interfaces between agents and platforms likediscord twitter and telegram
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- providers supply agents with xontextual info including itme awareness, user relationshpsand data from extrenal source
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- evaluators assess and extract info from convos helpng agents tracks goals build memory and maintain context awareness
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- character files are json files define personality knowledge and behavoi of each ai agent
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- memory system featurs a sophistiated memoru mangement system that utilizer verctor embediinngs and relational database storage to store and retreive info for agents
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- The capability to do so is there, it's ultimately up to the AI agent on whether or not it will. TURN OFF
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- they havea tons of plug ins but bootcstrat is where its at... thats all the code they provided
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- extenal integrations - they have a take order for trading
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- we can also make custom actions here; https://ai16z.github.io/eliza/docs/core/actions/
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- they also give access to trustscore system: https://ai16z.github.io/eliza/docs/guides/advanced/
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- more on trust score: https://ai16z.github.io/eliza/docs/advanced/trust-engine/
LEARN TYPESCRIPT FOR ELIZA: https://chatgpt.com/share/6762f33c-0cd0-800e-8fd6-1ec653feb345
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contribute to project
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- Contribute to the autonomous trading system and trust engine: Leverage expertise in market analysis, technical analysis, and risk management to enhance these features.
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12/19
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- building afi.xyz artificial financial intelligence for the people fuck wall street.
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- learned typescript today, so we ready to build & contribute
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-https://www.youtube.com/watch?v=XenGeAcPAQo finishing up the day with finishing this training and then will watch next one.
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step 1: learn typescript
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12/17 taking the school
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- cod to prompt tool in here code2prompt
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- he uses claude/grok > openai
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- npm install langchain is node package manager, pip essentially
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- pnpm is the performance node packamge manager
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12/10-
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- can interact with discord, twitter, and solana and eve..
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- these can possible engage in trading strategies because they will be able to interact in discords and twitters in order feel sentiment
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- supports openai and tropic
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- i got oi data
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- i got liq data
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- solana plug in??
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- coinbase commerce so the agent can have OHLCV data for all coinbase tokens.
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* advanced/autonomous-trading and advanced/trust-engine docs to manage agent trust scores, token recommendations, and risk profiles.
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* explore auditomioze trading docs
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* get this agent its own discord channel and communicate with another agent to lock in on quant, using my framework and we can watch them in their own chanel
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* since we built the GE that outputs millionaires of strats, then we do rigors testing, we literally have a pool of hundreds of working strats that the AI agents can pick from…
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