1. **Word2Vec Embedding**:
   - Word2Vec typically creates embeddings in spaces ranging from 100 to 300 dimensions. Let's assume we are using a 300-dimensional model.
   - Each word in the phrase "And it came to pass..." would be converted into a 300-dimensional vector.

2. **Representation of Each Word**:
   - The phrase has 5 words, so we would have 5 vectors.
   - Each dimension in the vector is usually a 32-bit floating-point number.

3. **Memory Calculation**:
   - Each 32-bit float requires 4 bytes of memory.
   - A 300-dimensional vector would thus require \( 300 \times 4 \) bytes = 1200 bytes.
   - For 5 words, the total memory would be \( 5 \times 1200 \) bytes = 6000 bytes (or 6 kilobytes).

So, in this hypothetical scenario, representing the phrase "And it came to pass..." using a 300-dimensional Word2Vec model would require approximately 6 kilobytes of memory.


##</code><code>##

#!/usr/bin/perl 


 
use v5.030;
use utf8;
use AI::Embedding;

my $ini_path = qw( /Users/mymac/Documents/1.&#1090;&#1072;&#1081;&#1085;&#1099;&#1081;.txt );
# get key
my $ref_config = get_&#1090;&#1072;&#1081;&#1085;&#1099;&#1081;($ini_path);
$DB::single = 1;
my %h = %$ref_config;

## keep ^^^ this the same
 
my $embedding = AI::Embedding->new(
    api => 'OpenAI',
    key => $h{key},
);

## ^^^this works now
## this doesn't:
 
my $csv_embedding  = $embedding->embedding('I demand a shrubbery');
my $test_embedding = $embedding->test_embedding('We are the knights who say nyet');
my @raw_embedding  = $embedding->raw_embedding('great eddie murphy show');
 
my $cmp = $embedding->comparator($csv_embedding);
 
my $similarity = $cmp->($test_embedding);
my $similarity_with_other_embedding = $embedding->compare($csv_embedding, $test_embedding);


say $cmp;
say $similarity;
say $similarity_with_other_embedding;

## don't change anything about the subroutine

sub get_&#1090;&#1072;&#1081;&#1085;&#1099;&#1081; {

  use Config::Tiny;
  use Data::Dump;
  my %h;    #creating here and exporting reference to caller

  my $ini_path  = shift;               #caller provides inipath
  my $sub_hash1 = "openai";
  my $Config    = Config::Tiny->new;

  $Config = Config::Tiny->read( $ini_path, 'utf8' );

  # -> is optional between brackets
  $h{email} = $Config->{$sub_hash1}{'email'};
  $h{key}  = $Config->{$sub_hash1}{'key'};


  my $ref_config = \%h;
  dd $ref_config;
  $DB::single = 1;
  return ($ref_config);
}

__END__ 



##</code><code>##

	(base) Merrills-Mac-mini:Documents mymac$ ./1.openai.pl 
Use of uninitialized value $embed_string in split at /Library/Perl/5.30/AI/Embedding.pm line 141.
features must contain terms at /Library/Perl/5.30/Data/CosineSimilarity.pm line 68.
(base) Merrills-Mac-mini:Documents mymac$