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WWW::PaLM

zef:antononcube

WWW::PaLM Raku package

Raku package for connecting with PaLM (Pathways Language Model).

The design and implementation of the package closes follows that of "WWW::OpenAI", [AAp1];

Installation

From Zef ecosystem:

zef install WWW::PaLM

From GitHub:

zef install https://github.com/antononcube/Raku-WWW-PaLM

Usage examples

Show models:

use WWW::PaLM;

palm-models()
# (models/chat-bison-001 models/text-bison-001 models/embedding-gecko-001)

Show text generation:

.say for palm-generate-text('what is the population in Brazil?', format => 'values', n => 3);
# 211,768,929
# 213,317,639
# 212,609,039

Show message generation:

.say for palm-generate-message('Who wrote the book "Dune"?');
# {candidates => [{author => 1, content => Frank Herbert wrote the book "Dune". It was first published in 1965 and is considered one of the greatest science fiction novels of all time. The book tells the story of Paul Atreides, a young man who is thrust into a war for control of the desert planet Arrakis. Dune has been adapted into a film, a television series, and a number of video games.}], messages => [{author => 0, content => Who wrote the book "Dune"?}]}

Show text embeddings:

my @vecs = palm-embed-text(["say something nice!",
                            "shout something bad!",
                            "wher is the best coffee made?"],
        format => 'values');

.say for @vecs;
# [0.0011238843 -0.040586308 -0.013174802 0.015497498 0.04383781 0.012527679 0.017876161 0.031339817 -0.0042566974 -0.024129443 -0.023050068 -0.015625203 0.03501345 -0.006033779 -0.011984176 -0.033368077 -0.040653296 0.022117265 -0.02034076 -0.040752005 -0.12748374 0.029760985 0.00084632 -0.017502416 -0.03893842 -0.07151896 0.0609997 -0.0046266303 -0.044301335 -0.022592714 0.023920823 0.0020489343 -0.0048049283 -0.038431767 0.007275116 0.018562535 0.017131427 -0.00043720857 0.02810143 0.053296003 0.031831037 -0.067091785 0.015640317 -0.0036152988 -0.04691379 -0.044070054 -0.022364588 -0.0083763655 -0.0490714 -0.007302964 0.006516001 -0.004685413 0.03979989 -0.014196505 0.01065721 -0.0073698894 -0.036348466 -0.008763353 -0.01892632 -0.054501593 0.032021806 -0.007242739 0.0220439 -0.07687204 -0.0740849 0.01748987 -0.027381063 -0.015533608 -0.013165218 -0.04867313 0.041797243 0.017989235 -0.00982055 0.03691631 0.010164966 -0.03985747 0.024958102 0.015761184 0.02152081 -0.06986678 -0.012039569 0.00056548475 -0.030969337 -0.07435745 -0.028182292 0.012739926 0.042157806 0.023305222 -0.03230193 -0.0033747193 -0.061240233 0.021881713 0.009969781 -0.010255637 -0.0049942187 -0.034989387 0.020215971 -0.020086009 0.0010875552 0.017283859 ...]
# [0.008541122 -0.024862545 5.7058678e-05 0.0038867046 0.067829944 0.021747978 -0.029083902 -0.004656434 -0.012782786 -0.018360043 -0.019952606 0.007747536 -0.0056520714 -0.038842484 0.0144888265 -0.028959233 -0.034373183 0.0086536445 0.0030540912 0.005582053 -0.123638585 0.04185863 0.009929637 0.017287828 -0.018644271 -0.08450658 -0.014902289 -0.05526195 -0.020689102 -0.0024103096 0.019860586 0.024158986 -0.05455204 -0.01493725 0.0006892038 0.00323405 -0.0006728824 -0.010576684 -0.014293131 0.038979508 0.01347389 -0.050580844 0.004814549 -0.031785876 -0.017129553 -0.013408159 -0.019374503 0.008474182 0.0013470884 -0.01079351 -0.011820318 0.002939847 0.019571697 0.030853825 0.013096097 -0.015389974 -0.017276747 -0.0005738943 -0.029613884 -0.035326067 0.002852012 0.016189976 0.025315559 -0.07327017 -0.039907347 0.03896169 -0.050800353 -0.039951827 0.0016103057 -0.06276334 0.03115886 0.011537878 -0.034277618 0.015627442 0.020582594 -0.040219635 0.011975396 0.037462063 0.06526648 -0.068473086 -0.014561573 0.005528434 -0.0057561444 -0.0419415 -0.007748433 0.012975432 0.01270717 0.046910107 -0.038431607 -0.0022757803 -0.08964604 0.020557715 0.017819826 0.0076504718 -0.053408835 0.012460911 -0.021491397 -0.02011912 -0.011796679 0.007281153 ...]
# [-0.04053886 -0.028188298 0.0223612 0.04598037 0.018368412 -0.04011965 0.042926013 0.021050882 -0.0094422195 -0.01832212 0.019964134 -0.0013347232 0.04966835 0.048276108 -0.005766044 -0.02433299 -0.040598087 -0.065635845 0.02209697 0.06312037 -0.085269 -0.012106354 0.0056219148 0.0030168872 -0.07658486 -0.048572473 -0.04269039 0.026315054 -0.006883465 -0.010089017 0.009539455 -0.030142343 -0.058066234 -0.03262922 -0.0018920723 0.062120162 -0.008042096 0.04948106 -0.00028861413 0.026026316 0.04703804 -0.012234463 0.058435097 -0.05434934 -0.049611546 -0.020385403 -0.05354296 0.07173936 0.014864944 -0.016838027 -0.024500856 0.008486 -0.0027952811 0.016175343 0.019633992 -0.0010128785 -0.03879283 -0.0091371685 0.041809056 -0.024545915 -0.009020674 0.018044515 0.025408195 -0.07722929 -0.04280286 -0.0077904514 -0.0014599559 -0.045557976 -0.009131333 -0.038542382 0.0069833044 0.043738525 -0.011051313 -0.010426432 -0.05466805 0.013140538 0.0069446876 -0.035760716 0.04011649 -0.066007614 -0.035028048 -0.03821088 -0.031489357 -0.06864613 0.0075672227 -0.0032299925 0.007995906 0.0020973664 -0.02571021 0.070727535 -0.09410694 -0.011029921 -0.010794598 -0.022694781 -0.041388575 0.038010556 -0.006979773 -0.034256544 -0.015818557 -0.0064860974 ...]

Command Line Interface

Maker suite access

The package provides a Command Line Interface (CLI) script:

palm-prompt --help
# Usage:
#   palm-prompt [<words> ...] [--path=<Str>] [-n[=UInt]] [--mt|--max-output-tokens[=UInt]] [-m|--model=<Str>] [-t|--temperature[=Real]] [-a|--auth-key=<Str>] [--timeout[=UInt]] [-f|--format=<Str>] [--method=<Str>] -- Command given as a sequence of words.
#   
#     --path=<Str>                       Path, one of 'generateText', 'generateMessage', 'embedText', or 'models'. [default: 'generateText']
#     -n[=UInt]                          Number of completions or generations. [default: 1]
#     --mt|--max-output-tokens[=UInt]    The maximum number of tokens to generate in the completion. [default: 100]
#     -m|--model=<Str>                   Model. [default: 'Whatever']
#     -t|--temperature[=Real]            Temperature. [default: 0.7]
#     -a|--auth-key=<Str>                Authorization key (to use PaLM API.) [default: 'Whatever']
#     --timeout[=UInt]                   Timeout. [default: 10]
#     -f|--format=<Str>                  Format of the result; one of "json", "hash", "values", or "Whatever". [default: 'values']
#     --method=<Str>                     Method for the HTTP POST query; one of "tiny" or "curl". [default: 'tiny']

Remark: When the authorization key argument "auth-key" is specified set to "Whatever" then palm-prompt attempts to use the env variable PALM_API_KEY.


Mermaid diagram

The following flowchart corresponds to the steps in the package function palm-prompt:

graph TD
	UI[/Some natural language text/]
	TO[/"PaLM<br/>Processed output"/]
	WR[[Web request]]
	PaLM{{PaLM}}
	PJ[Parse JSON]
	Q{Return<br>hash?}
	MSTC[Compose query]
	MURL[[Make URL]]
	TTC[Process]
	QAK{Auth key<br>supplied?}
	EAK[["Try to find<br>PALM_API_KEY<br>in %*ENV"]]
	QEAF{Auth key<br>found?}
	NAK[/Cannot find auth key/]
	UI --> QAK
	QAK --> |yes|MSTC
	QAK --> |no|EAK
	EAK --> QEAF
	MSTC --> TTC
	QEAF --> |no|NAK
	QEAF --> |yes|TTC
	TTC -.-> MURL -.-> WR -.-> TTC
	WR -.-> |URL|PaLM 
	PaLM -.-> |JSON|WR
	TTC --> Q 
	Q --> |yes|PJ
	Q --> |no|TO
	PJ --> TO

TODO


References

Articles

[AA1] Anton Antonov, "Workflows with LLM functions", (2023), RakuForPredictions at WordPress.

[AA2] Anton Antonov, "Number guessing games: PaLM vs ChatGPT" (2023), RakuForPredictions at WordPress.

[ZG1] Zoubin Ghahramani, "Introducing PaLM 2", (2023), Google Official Blog on AI.

Packages, platforms

[AAp1] Anton Antonov, WWW::OpenAI Raku package, (2023), GitHub/antononcube.

[AAp2] Anton Antonov, Lingua::Translation::DeepL Raku package, (2022), GitHub/antononcube.

[AAp3] Anton Antonov, LLM::Functions Raku package, (2023), GitHub/antononcube.

[AAp4] Anton Antonov, ML::FindTextualAnswer Raku package, (2023), GitHub/antononcube.

[OAI1] OpenAI Platform, OpenAI platform.