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--- it:ai:aiassistance [2023-08-16 12:54] – [解决方案] goldentianya
+++ it:ai:aiassistance [2023-08-19 07:13] (当前版本) – [解决方案] goldentianya
@@ 行 16: / 行 16: @@
     - [[https://www.youtube.com/watch?v=ySus5ZS0b94|OpenAI Embeddings and Vector Databases Crash Course]] {{fa>youtube}}
     - [[https://www.youtube.com/watch?v=N4nX_rTwKx4&t=318s|OpenAI GPT3 with a Databases - Crash Course]] {{fa>youtube}}
+  - 文献和思路
+    - [[https://www.51cto.com/article/760672.html|从通才到专才：Fine-tuning与Embedding探索]]
 **语言模型**
@@ 行 35: / 行 37: @@
   - [[https://huggingface.co/docs/huggingface.js/inference/README|inference api]] ([[https://huggingface.co/inference-api|Price]] 滚动到底下)
   - [[https://huggingface.co/docs/transformers.js|Transformer.js]]
+    - [[https://huggingface.co/Xenova|xenova 可以直接用的模型]]
   - [[https://huggingface.co/THUDM/codegeex2-6b|CodeGeex2]] / [[https://huggingface.co/bigcode/starcoder/tree/main|Starcoder(70GB)]] 最新代码模型 {{fa>book}}
     - [[https://www.bilibili.com/read/cv23898887/|使用 StarCoder 创建一个编程助手]]
@@ 行 40: / 行 43: @@
     - [[https://tianchi.aliyun.com/course/956?spm=a2c22.28136470.0.0.57993f2czRiSez&from=search-list|基于transformers的自然语言处理]]
-不错的语言模型
-  * [[https://huggingface.co/setu4993/smaller-LaBSE/tree/main|smaller-LaBSE]]
-  * [[https://huggingface.co/setu4993/LEALLA-large/tree/main|LEALLA-large]] / [[https://huggingface.co/setu4993/LEALLA-base/tree/main|LEALLA-base]]
 搜索支持Transformer的models
@@ 行 55: / 行 55: @@
   - 如果没有ONNX的需要自行编译，因为Transformer本身是从python上来的。（参考{{fa>book}}[[https://huggingface.co/docs/transformers.js/custom_usage|onnx]]）
+===== 语言模型 =====
+Feature Extraction, Transformer, zh/en/de:
+  * [[https://huggingface.co/setu4993/smaller-LaBSE/tree/main|smaller-LaBSE]]
+  * [[https://huggingface.co/setu4993/LEALLA-large/tree/main|LEALLA-large]] / [[https://huggingface.co/setu4993/LEALLA-base/tree/main|LEALLA-base]]
+Question Answering
+  * [[https://huggingface.co/IProject-10/xlm-roberta-base-finetuned-squad2/tree/main|Facebook 训练的模型]]
+Text generation
+  * [[https://huggingface.co/facebook/xglm-564M/tree/main|xglm-564M]] (FB 的同模型4.5B参数需要10GB文件，太大了)
+**Langchain**
+  * [[https://js.langchain.com/docs/get_started/installation|js.langchain]] {{fa>book}}
+    * [[https://js.langchain.com/docs/api/chains/classes/RetrievalQAChain|RetrievalQAChain]]
+    * [[https://js.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_inference|llms hf-inference]] / [[https://js.langchain.com/docs/modules/data_connection/text_embedding/integrations/hugging_face_inference|embedding inference]]
+  * [[https://js.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas|MongoDB]]
 ===== Task描述 =====

it/ai/aiassistance.1692190477.txt.gz · 最后更改: 2023-08-16 12:54 由 goldentianya

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