[KongchangAI]
Companyalpaca.markets

Alpaca

A fintech company providing stock brokerage services in an API-first manner, serving algorithmic traders and developers. The platform supports paper trading simulation accounts alongside live trading.

Timeline (last 90 days)

Oct 19

Alpaca and ShareGPT are popular instruction fine-tuning data formats, each with its own variants.

Unverified50%
Oct 14

The trading bot only runs simulated trades, and the plan is to observe for a month before evaluating performance.

Expired50%
Oct 7

Common data format specifications include the Alpaca format and the ShareGPT format, both of which are supported for automatic parsing by mainstream training frameworks such as LLaMA-Factory and Axolotl.

Unverified50%
Oct 4

Alpaca's official website is alpaca.markets, and newly opened paper trading accounts come with $100,000 in virtual funds.

Unverified50%
Oct 4

The system pulls stock market data from Massive, calculates 12-month momentum scores across a universe of 50 stocks, and routes orders through SnapTrade to Alpaca's paper trading account for execution.

Unverified50%
Oct 4

Notional ordering allows orders to be placed by dollar amount rather than share count; Alpaca supports notional orders and allows holding fractional shares, which is one of the reasons it was chosen as the execution layer.

Unverified50%
Oct 4

When placing a notional order, the exact number of shares to be purchased is calculated by Alpaca at the real-time price at the time of execution, and the application itself is not responsible for this step.

Unverified50%
Sep 11

After LLaMA was open-sourced, the community rapidly produced a large number of derivative models such as Alpaca and Vicuna.

Unverified50%
Sep 1

Stanford University's Alpaca project in 2023 fine-tuned the LLaMA-7B model using 52,000 instruction data entries generated by GPT-3.5, at a cost of approximately $600.

Unverified50%
Aug 28

Meta的Llama系列作为开源模型对齐程度较轻,催生了Vicuna、Alpaca等数以千计的衍生模型

Unverified50%

1 more timeline events

All Facts (10)

Unverified

Stanford's Alpaca project used GPT-3.5 to generate 52K instruction data points for training a 7B-parameter LLaMA.

60%
Unverified

Alpaca and ShareGPT are popular instruction fine-tuning data formats, each with its own variants.

50%
Unverified

Common data format specifications include the Alpaca format and the ShareGPT format, both of which are supported for automatic parsing by mainstream training frameworks such as LLaMA-Factory and Axolotl.

50%
Unverified

The system pulls stock market data from Massive, calculates 12-month momentum scores across a universe of 50 stocks, and routes orders through SnapTrade to Alpaca's paper trading account for execution.

50%
Unverified

Alpaca's official website is alpaca.markets, and newly opened paper trading accounts come with $100,000 in virtual funds.

50%
Unverified

Notional ordering allows orders to be placed by dollar amount rather than share count; Alpaca supports notional orders and allows holding fractional shares, which is one of the reasons it was chosen as the execution layer.

50%
Unverified

When placing a notional order, the exact number of shares to be purchased is calculated by Alpaca at the real-time price at the time of execution, and the application itself is not responsible for this step.

50%
Unverified

After LLaMA was open-sourced, the community rapidly produced a large number of derivative models such as Alpaca and Vicuna.

50%
Unverified

Stanford University's Alpaca project in 2023 fine-tuned the LLaMA-7B model using 52,000 instruction data entries generated by GPT-3.5, at a cost of approximately $600.

50%
Unverified

Meta的Llama系列作为开源模型对齐程度较轻,催生了Vicuna、Alpaca等数以千计的衍生模型

50%

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