fix(docs): correct typos (#662)

* docs: fix typos

* Update CHANGELOG.md

* Update README.md

* Update README.md

* Update index.md

clients/vim/doc/tabby.txt

@@ -78,6 +78,6 @@ Keybindings~
 			`<Tab>` if no completion is shown.
 
 <C-\>			Trigger completion if not shown. Dismiss the current 
-			compleiton if shown.
+			completion if shown.
 
  vim:tw=78:ts=8:noet:ft=help:norl:

website/blog/2023-09-30-stream-laziness-in-tabby/index.md

@@ -80,7 +80,7 @@ This is where the concept of stream laziness comes into play. We should perform
 
 ![Cancellation](./cancellation.png)
 
-## How to handle canellation?
+## How to handle cancellation?
 
 The core idea is straightforward: on the server side, we need to listen to the `close` event and check if the connection is still valid before pulling data from the LLM stream.
 

website/blog/2023-10-14-seed-round-release-0-3-0-RAG.md

@@ -15,7 +15,7 @@ Today, Tabby stands out as the most popular and user-friendly solution to enable
 
 
 ## Release v0.3.0 - Retrieval Augmented Code Completion 🎁
-Tabby also comes to a [v0.3.0 release](https://github.com/TabbyML/tabby/releases/tag/v0.3.0), with the support of retrieval-augmented code completion enabled by default. Enhanced by repo-level retrieval, Tabby gets smarter at your codebase and will quickly reference to a related funcion / code example from another file in your repository.
+Tabby also comes to a [v0.3.0 release](https://github.com/TabbyML/tabby/releases/tag/v0.3.0), with the support of retrieval-augmented code completion enabled by default. Enhanced by repo-level retrieval, Tabby gets smarter at your codebase and will quickly reference to a related function / code example from another file in your repository.
 
 A blog series detailing the technical designs of retrieval-augmented code completion will be published soon. Stay tuned!🔔
 

website/blog/2023-10-21-incremental-decoding/index.md

@@ -7,7 +7,7 @@ image: ./twitter-decoding.png
 ---
 # Decode the Decoding in Tabby
 
-In the context of the Transformer model, which is widely used across LLMs, ***decoding*** refers to the process of generating an output sequence from an encoded input. Tabby recenty [implemented ***incremental decoding***](https://github.com/TabbyML/tabby/pull/491) as part of the greedy search. This blog will explain our thoughts behind this 🛠️💡.
+In the context of the Transformer model, which is widely used across LLMs, ***decoding*** refers to the process of generating an output sequence from an encoded input. Tabby recently [implemented ***incremental decoding***](https://github.com/TabbyML/tabby/pull/491) as part of the greedy search. This blog will explain our thoughts behind this 🛠️💡.
 
 
 ## Common Decoding Methods
@@ -21,7 +21,7 @@ numbers = [1, 2, 3, 4, 5]
 evens = [x for x in numbers
 ```
 
-To simplify the scenario, we assume that the language model maintains a probaility distribution as shown below,
+To simplify the scenario, we assume that the language model maintains a probability distribution as shown below,
 
 ![probability](./probability.png)
 
@@ -67,6 +67,6 @@ In the case above, the final decoded string would be `" he llo"` with an awkward
 Incremental decoding:  ......, 207, 211  ->   "......[ hello]"  ✅
 ```
 
-For interested folks, you can refer to Tabby's exact implementation in `IncrementalDecoding` funcion in [`creates/tabby-inference/src/decoding.rs`](https://github.com/TabbyML/tabby/pull/491).
+For interested folks, you can refer to Tabby's exact implementation in `IncrementalDecoding` function in [`creates/tabby-inference/src/decoding.rs`](https://github.com/TabbyML/tabby/pull/491).
 
 Have you found our new decoding methods effective? Share your thoughts with us in our [Slack](https://join.slack.com/t/tabbyml/shared_invite/zt-22thejc0z-7ePKeWNCHPX31pEtnT4oYQ) channel 🌍😊!

website/docs/installation/hugging-face/index.md

@@ -11,7 +11,7 @@ This tutorial is now also available on [Hugging Face](https://huggingface.co/doc
 
 ## Your first Tabby Space
 
-In this section, you will learn how to deploy a Tabby Space and use it for yourself or your orgnization.
+In this section, you will learn how to deploy a Tabby Space and use it for yourself or your organization.
 
 ### Deploy Tabby on Spaces