From c9e633bd8bdc791c3eb1764799eeb28ff277d8da Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:33:39 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/README.md b/README.md index 98cf4e7..3395d9f 100644 --- a/README.md +++ b/README.md @@ -78,3 +78,17 @@ and then return translated text in string. *str* ​ The target language text. + + +# More Resources + +- [What is a Transformer Model? An Engineer's Guide](https://zilliz.com/glossary/transformer-models): A transformer model is a neural network architecture. It's proficient in converting a particular type of input into a distinct output. Its core strength lies in its ability to handle inputs and outputs of different sequence length. It does this through encoding the input into a matrix with predefined dimensions and then combining that with another attention matrix to decode. This transformation unfolds through a sequence of collaborative layers, which deconstruct words into their corresponding numerical representations. + +At its heart, a transformer model is a bridge between disparate linguistic structures, employing sophisticated neural network configurations to decode and manipulate human language input. An example of a transformer model is GPT-3, which ingests human language and generates text output. +- [Experiment with 5 Chunking Strategies via LangChain for LLM - Zilliz blog](https://zilliz.com/blog/experimenting-with-different-chunking-strategies-via-langchain): Explore the complexities of text chunking in retrieval augmented generation applications and learn how different chunking strategies impact the same piece of data. +- [Massive Text Embedding Benchmark (MTEB)](https://zilliz.com/glossary/massive-text-embedding-benchmark-(mteb)): A standardized way to evaluate text embedding models across a range of tasks and languages, leading to better text embedding models for your app +- [About Lance Martin | Zilliz](https://zilliz.com/authors/Lance_Martin): Software / ML at LangChain +- [The guide to gte-base-en-v1.5 | Alibaba](https://zilliz.com/ai-models/gte-base-en-v1.5): gte-base-en-v1.5: specialized for English text; Built upon the transformer++ encoder backbone (BERT + RoPE + GLU) +- [What Is Semantic Search?](https://zilliz.com/glossary/semantic-search): Semantic search is a search technique that uses natural language processing (NLP) and machine learning (ML) to understand the context and meaning behind a user's search query. +- [What are LLMs? Unlocking the Secrets of GPT-4.0 and Large Language Models - Zilliz blog](https://zilliz.com/learn/what-are-llms-unlock-secrets-of-gpt-4-and-llms): Unlocking the Secrets of GPT-4.0 and Large Language Models +- [Large Language Models (LLMs)](https://zilliz.com/glossary/large-language-models-(llms)): What Is a Large Language Model? A Developer's Reference \ No newline at end of file