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加密貨幣新聞文章

OpenAI 對其大型語言模型 (LLM) 進行了微調,旨在提高其企業績效

2024/08/26 21:00

根據公告,GPT-4o 的微調功能將允許開發人員調整模型以適應其組織的需求

OpenAI 對其大型語言模型 (LLM) 進行了微調,旨在提高其企業績效

ChatGPT maker OpenAI has announced the introduction of fine-tuning for its large language model (LLM), which is designed to improve its enterprise performance.

ChatGPT 製造商 OpenAI 宣布對其大型語言模型 (LLM) 進行微調,旨在提高其企業績效。

According to the announcement, the fine-tuning feature for GPT-4o will allow developers to tweak the model to fit the needs of their organizations. Developers can customize the LLM with their custom data sets, and early results show a marked performance improvement.

根據公告,GPT-4o 的微調功能將允許開發人員調整模型以適應其組織的需求。開發人員可以使用他們的自訂資料集自訂 LLM,早期結果顯示效能顯著提高。

“Fine-tuning enables the model to customize structure and tone of responses, or to follow complex domain-specific instructions,” reads OpenAI’s official statement. “Developers can already produce strong results for their applications with as little as a few dozen examples in their training data set.”

OpenAI 的官方聲明中寫道:“微調使模型能夠定制響應的結構和語氣,或遵循複雜的特定領域指令。” “開發人員只需訓練資料集中的數十個範例就可以為他們的應用程式產生強大的結果。”

The fine-tuning training is priced at $25 per million tokens, while inference is capped at $3.75 per million and $15 per million for input and output tokens, respectively. These fees are expected to contribute to OpenAI revenues and could form a large chunk of its earnings as more enterprises tailor the LLM to suit their individual needs.

微調訓練的定價為每百萬代幣 25 美元,而推理的輸入和輸出代幣的上限分別為每百萬美元 3.75 美元和 15 美元。這些費用預計將有助於 OpenAI 的收入,並且隨著越來越多的企業根據其個人需求客製化法學碩士課程,這些費用可能會構成其收入的很大一部分。

To spur adoption, OpenAI says it will offer one million training tokens each day for free to organizations until September 23, with users of GPT-4o mini receiving 2 million free tokens per day.

為了刺激採用,OpenAI 表示將在 9 月 23 日之前每天向組織免費提供 100 萬個訓練代幣,GPT-4o mini 的用戶每天將獲得 200 萬個免費代幣。

Prior to the announcement, several firms participated in early studies with OpenAI to test the practicality of the finetuning feature. Some notable use cases include the following:

在宣布這一消息之前,已有多家公司參與了 OpenAI 的早期研究,以測試微調功能的實用性。一些值得注意的用例包括:

Cosine’s Genie, an AI software engineering assistant that relies on GPT-4o, demonstrated impressive results in writing code, spotting bugs, and building new features.

Cosine 的 Genie 是一款依賴 GPT-4o 的人工智慧軟體工程助手,在編寫程式碼、發現錯誤和建立新功能方面展示了令人印象深刻的成果。

An AI solutions firm, Distyl, ranked first after using a fine-tuned GPT-4o in studies that explored text-to-SQL benchmarks, racking up accuracies of over 70% across all metrics.

人工智慧解決方案公司 Distyl 在探索文字到 SQL 基準的研究中使用經過微調的 GPT-4o 後排名第一,所有指標的準確度均超過 70%。

According to OpenAI, fine-tuned models will still provide users with the same levels of data privacy as ChatGPT while rolling out new security measures to protect enterprise data.

OpenAI 表示,經過微調的模型仍將為用戶提供與 ChatGPT 相同等級的資料隱私,同時推出新的安全措施來保護企業資料。

“We’ve also implemented layered safety mitigations for fine-tuned models to ensure they aren’t being misused,” said OpenAI. “For example, we continuously run automated safety evals on fine-tuned models and monitor usage to ensure applications adhere to our usage policies.”

OpenAI 表示:“我們還針對微調模型實施了分層安全緩解措施,以確保它們不會被濫用。” “例如,我們不斷對微調模型運行自動安全評估,並監控使用情況,以確保應用程式遵守我們的使用政策。”

A streak of upgrades

連續升級

OpenAI has been bullish in rolling out upgrades for its artificial intelligence (AI) offerings, teasing users with an AI-powered search engine at the tail end of July. In April, the company announced an upgrade designed to make the chatbot more conversational while reducing the usage of verbose language in responses.

OpenAI 一直看好其人工智慧 (AI) 產品的升級,並在 7 月底向用戶推出了人工智慧驅動的搜尋引擎。四月份,該公司宣布了一項升級,旨在使聊天機器人更具對話性,同時減少回覆中冗長語言的使用。

The firm previously confirmed the development of a new AI detection tool with 99.9% accuracy levels after its previous attempt had a sputtering start. However, it says it will adopt a cautious approach for a commercial launch to avoid pitfalls associated with next-gen technologies.

該公司先前已確認開發出準確率達 99.9% 的新型人工智慧檢測工具,而先前該工具的嘗試起步並不順利。不過,該公司表示,將採取謹慎的商業發布方式,以避免與下一代技術相關的陷阱。

“We believe the deliberate approach we’ve taken is necessary given the complexities involved and its likely impact on the broader ecosystem beyond OpenAI,” said a company executive.

一位公司高層表示:“考慮到所涉及的複雜性及其可能對 OpenAI 之外的更廣泛生態系統的影響,我們認為我們採取的深思熟慮的方法是必要的。”

Watch: Understanding the dynamics of blockchain & AI

觀看:了解區塊鏈和人工智慧的動態

New to blockchain? Check out CoinGeek’s Blockchain for Beginners section, the ultimate resource guide to learn more about blockchain technology.

區塊鏈新手?請參閱 CoinGeek 的區塊鏈初學者部分,這是了解更多有關區塊鏈技術的終極資源指南。

原始來源:coingeek

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