Awọn ile-iṣẹ Itọsọna

Awọn awoṣe Snowflake Arctic

Snowflake Arctic is a language model released by Snowflake AI Research for enterprise-oriented tasks such as SQL generation, coding, and instruction following.

Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min

Lori iwe yi2 min ka
  1. Akopọ
  2. Jin Dive
  3. Real-World imuse
  4. Ojo iwaju ti Snowflake Arctic Models
  5. Fifi o sinu iwa
  6. Tesiwaju Ṣiṣawari
  7. Awọn ibeere ti a beere nigbagbogbo

Akopọ

Snowflake describes its architecture, weights, and training budget in its release materials; benchmark and cost statements should be read as the company’s reported results under its stated setup.

Jin Dive

Snowflake announced Arctic in April 2024. The company describes it as a Dense-MoE Hybrid transformer with 480 billion total parameters and about 17 billion active per token, using top-2 gating across fine-grained experts. Snowflake released base and instruct-tuned checkpoints under Apache 2.0 and reported a training compute budget of roughly under $2 million; this is the company’s estimate and should not be treated as a directly comparable cost for every model. Arctic targets enterprise use cases such as SQL generation, coding, and instruction following. Snowflake also released Arctic Embed models for text embeddings in search and retrieval workflows.

Real-World imuse

Ṣiṣẹda awọn ibeere SQL ti o pe lati awọn ibeere Gẹẹsi-Gẹẹsi lori ibi ipamọ data ti ile-iṣẹ kan

Ṣiṣe awọn oluranlọwọ koodu-iran ile-iṣẹ agbara laarin iṣẹ Cortex Snowflake

Lilo awọn awoṣe Arctic Embed lati ṣe ilọsiwaju wiwa iwe ati iran imupadabọ

Ṣiṣe ṣiṣi, awoṣe ti a fun ni iwe-aṣẹ Apache lori ile tabi ni awọsanma ikọkọ lati tọju data ifura

Ojo iwaju ti Snowflake Arctic Models

The Arctic release illustrates one approach to enterprise language models: publish weights and training details, specialize evaluation for SQL and coding, and provide separate embedding models for retrieval. Model comparisons should identify the checkpoint, benchmark, compute assumptions, and license. Snowflake’s claims about performance and cost describe its own evaluations and disclosures.

Fifi o sinu iwa

Kini idi ti o ṣe pataki

  • Ilana olutaja. Awọn maapu opopona olutaja ni ipa kini awọn ẹya ti ẹgbẹ rẹ le kọ ni atẹle.
  • Iye owo ati isuna. Awọn ofin iṣowo ati awọn aṣayan imuṣiṣẹ ni ipa lori idiyele igba pipẹ ati eewu.
  • Ewu ati ailewu. Awọn imoriya ile-iṣẹ ṣe apẹrẹ awọn abawọn ọja, iduro ailewu, ati ṣiṣi.

Ṣọra fun

  • Awọn ikede ifilọlẹ le ju iduroṣinṣin lọ ni awọn iṣan-iṣẹ iṣelọpọ gidi.
  • Ifowoleri API tabi awọn iyipada eto imulo le fọ awọn arosinu ni alẹ.
  • Igbẹkẹle olutaja ẹyọkan ṣe alekun titiipa-inu ati awọn idiyele ijira.

Next awọn igbesẹ

  1. Ṣe ayẹwo awọn olupese nipa lilo awọn iṣẹ ṣiṣe tirẹ ati awọn ipilẹ data.
  2. Ṣe atunyẹwo asiri, aabo, ati awọn ofin ofin ṣaaju iṣọpọ.
  3. Ṣetọju eto ipadabọ kọja awọn awoṣe tabi awọn olutaja.
  4. Bojuto awọn akọsilẹ itusilẹ nitoribẹẹ awọn iyipada maapu oju-ọna ma ṣe iyalẹnu awọn ẹgbẹ.

Tesiwaju Ṣiṣawari

Ìwé ìròyìn ọfẹ

Gba ìkànìyàn AI ojoojúmọ́

Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.

Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.

Ṣe idanwo fun ara rẹ

Take the Snowflake Arctic Models quiz

Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.

Bẹrẹ adanwo

Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan

Awọn ibeere ti a beere nigbagbogbo

What is Snowflake Arctic Models?

Snowflake Arctic is a language model released by Snowflake AI Research for enterprise-oriented tasks such as SQL generation, coding, and instruction following. Snowflake describes its architecture, weights, and training budget in its release materials; benchmark and cost statements should be read as the company’s reported results under its stated setup.

Iru ile-iṣẹ wo ni o kọ awọn awoṣe Arctic?

Snowflake, ti a mọ fun ile-itaja data awọsanma rẹ, kọ Arctic lati mu AI sunmọ data ile-iṣẹ.

What architecture figures did Snowflake report for Arctic?

Snowflake reports Arctic has 480B total parameters and uses top-2 gating to activate about 17B per token; these are company-reported architecture figures.

Idojukọ iṣẹ-ṣiṣe wo ni o ṣe iyatọ si Arctic lati awọn iwiregbe olumulo gbogbogbo?

Arctic fojusi 'imọye ile-iṣẹ' gẹgẹbi SQL, koodu, ati itọnisọna ti o tẹle kuku ju iwiregbe ti o ṣii.

Under what license did Snowflake release Arctic’s model weights?

Snowflake’s release materials state that Arctic model weights were released under Apache 2.0.

How did Snowflake characterize Arctic’s training compute budget?

Snowflake reported a training compute budget of roughly under $2 million; this company estimate depends on its accounting and is not automatically comparable across models.