refactor(Docs): Add table of all actions, and tiny cleanup
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@@ -29,33 +29,10 @@ See example workflow in examples folder.
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- Example: `"Hello World"`, `'It\'s a sunny day'`
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- Represents string literals.
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## Functions
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Here are the available functions and their usage:
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1. **Sum Function**:
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- Syntax: `sum(arg1 | arg2 | ... | argN)`
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- Adds together multiple embeddings.
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- Example: `sum(embedding:face1 | dog)`
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2. **Negation Function**:
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- Syntax: `neg(arg)`
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- Negates the output.
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- Example: `neg(A embedding:happycats outside)`
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3. **Normalization Function**:
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- Syntax: `norm(arg)`
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- Normalizes the given vector embedding.
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- Example: `norm(sum(embedding:face1 | embedding:face2))`
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4. **Difference Function**:
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- Syntax: `diff(arg1 | arg2 | ... | argN)`
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- Computes the difference between multiple vector embeddings.
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- Example: `diff(embedding:face1 | embedding:face2)`
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### Notes on Arguments:
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- Each function takes one or more arguments.
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- An argument (`arg`) can be an embedding, a word, another function, or a quoted string.
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- An argument (`arg`) can be an embedding, multiple words, another function, or a quoted string.
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- For functions that accept multiple arguments, they are separated by the `|` symbol.
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## Examples
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@@ -78,4 +55,25 @@ Here are the available functions and their usage:
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```
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sum(king|neg(man)|woman)
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```
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```
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## Functions
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Here are the available functions and their usage:
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| Display Name | Action Name | Description | Usage Examples |
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| --- | --- | --- | --- |
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| Multiply | mult | Multiplies the provided segments or actions by the multiplier. | <ul><li>mult(The cat is\|2.5)</li><li>mult(Cat\|-1)</li></ul> |
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| Set Dimensions | setDims | Sets the specified dimensions of the input embeddings to the specified value | <ul><li>The setDims(cat\|4, -0.01253\|76, 1.2) is happy</li></ul> |
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| Negate | neg | Negates the provided segments or actions. | <ul><li>neg(cat)</li><li>sum(king\|neg(man)\|women)</li></ul> |
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| Normalize | norm | Normalizes the provided segments or actions. | <ul><li>norm(cat)</li><li>sum(cat\|norm(sum(tiger\|fish)))</li></ul> |
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| Positional Embedding Scale | posScale | Scales(Multiplies) the positional embeddings of the provided segments or actions by the multiplier. | <ul><li>A posScale(cat\|1.5) on a rainy day</li></ul> |
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| Random Embedding | rand | Returns a random embedding of the specified token length, with the values optionally bounded by the second and third arguments. | <ul><li>A rand(1) cat</li><li>A rand(1\|-1\|1) cat</li></ul> |
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| Difference | diff | Subtracts the segments in the order they are given. The first segment is subtracted from the second, then the third from the result, and so on. | <ul><li>diff(The cat is\|The dog is)</li><li>diff(Cat\|Dog)</li><li>sum(diff(king\|man)\|woman)</li></ul> |
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| Slerp | slerp | Performs a slerp(Interpolation) between two segments or actions, with the given weight. The recommended weight is 0 - 1 | <ul><li>The slerp(cat\|dog\|0.5) is happy</li></ul> |
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| Pooled Average(Experimental) | _exp-pooledAvg | Processes the provided segments or actions fully through CLIP and creates a pooled average of the last hidden state by averaging the last hidden state of each token. | <ul><li>A cat on a _exp-pooledAvg(beautiful sunny day)</li><li>A _exp-pooledAvg(broken glass) bottle</li></ul> |
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| Sum | sum | Adds the embeddings of the provided segments or actions. | <ul><li>A happy sum(cat\|dog\|shark)</li></ul> |
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| Pooler Output(Experimental) | _exp-pooler | Processes the provided segments or actions fully through CLIP and returns the pooler_output from the transformer | <ul><li>A cat on a _exp-pooler(beautiful sunny day)</li><li>A _exp-pooler(broken glass) bottle</li></ul> |
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| Scale Dimensions | scaleDims | Scales the specified dimensions of the input embeddings by the specified amount | <ul><li>The scaleDims(cat\|4,1.5\|76,1.2) is happy</li></ul> |
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| Ignore Positional Embeddings | postPos | Prevents positional embeddings from being applied to the provided segments or actions. | <ul><li>A postPos(cat) on a rainy day</li></ul> |
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| Average | avg | Performs a weighted average between two segments or actions. The recommended weight is 0 - 1. | <ul><li>avg(The cat is\|The dog is\|0.5)</li><li>avg(Cat\|Dog\|0.5)</li></ul> |
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