Dolly2.0 is a 12B parameter language model based on the EleutherAI pythia model family and fine-tuned exclusively on a new, high-quality human generated instruction following dataset, crowdsourced among Databricks employees.
We are open-sourcing the entirety of Dolly 2.0, including the training code, the dataset, and the model weights, all suitable for commercial use. This means that any organization can create, own, and customize powerful LLMs that can talk to people, without paying for API access or sharing data with third parties.
databricks-dolly-15k contains 15,000 high-quality human-generated prompt / response pairs specifically designed for instruction tuning large language models. Under the licensing terms for databricks-dolly-15k (Creative Commons Attribution-ShareAlike 3.0 Unported License), anyone can use, modify, or extend this dataset for any purpose, including commercial applications.
To the best of our knowledge, this dataset is the first open source, human-generated instruction dataset specifically designed to make large language models exhibit the magical interactivity of ChatGPT. databricks-dolly-15k was authored by more than 5,000 Databricks employees during March and April of 2023. These training records are natural, expressive and designed to represent a wide range of the behaviors, from brainstorming and content generation to information extraction and summarization.
We knew from the OpenAI research paper that the original InstructGPT model was trained on a dataset consisting of 13,000 demonstrations of instruction following behavior. Inspired by this, we set out to see if we could achieve a similar result with Databricks employees leading the charge.
Safety should always come first when starting a campfire. Ensure you have water or another way to extinguish your fire readily available. Use a campfire ring, pit, or clear a large area around your campfire location. Also, make sure campfires are permitted in your area.
Use stuff like dry pine needles, dry leaves, grasses, and wood shavings for tinder. You could also use newspaper (or any paper), dryer lint, or cardboard. For kindling, use smaller pieces of wood, such as twigs and sticks no thicker than 1 inch in diameter (about the thickness of your thumb).
Dry or well-seasoned logs will ensure a good burn. Stack the wood in a way that guarantees oxygen can easily reach your flame. Many prefer a teepee or log cabin stacking design. Now, use a heat source to create a flame or spark and apply this to your tinder. Once the tinder combusts, it should light the kindling, and the kindling should eventually ignite your logs. If all goes well, you should now be enjoying your campfire.
We were initially skeptical whether we would get to 10,000 results. But with nightly leaderboard gamification, we managed to break 15,000 results within a week. Out of fear of eating into our productivity, we closed the contest.
Databricks SQL Serverless supports serverless compute. Admins can create serverless SQL warehouses (formerly SQL endpoints) that enable instant compute and are managed by Databricks. Serverless SQL warehouses use compute clusters in your Databricks account. Use them with Databricks SQL queries just like you normally would with the original customer-hosted SQL warehouses, which are now called classic SQL warehouses. Databricks changed the name from SQL endpoint to SQL warehouse because, in the industry, endpoint refers to either a remote computing device that communicates with a network that it's connected to, or an entry point to a cloud service. A data warehouse is a data management system that stores current and historical data from multiple sources in a business friendly manner for easier insights and reporting. SQL warehouse accurately describes the full capabilities of this compute resource. If serverless SQL warehouses are enabled for your account, note the following: New SQL warehouses are serverless by default when you create them from the UI. New SQL warehouses are not serverless by default when you create them using the API, which requires that you explicitly specify serverless. You can also create new pro or classic SQL warehouses using either method. You can upgrade a pro or classic SQL warehouse to a serverless SQL warehouse or a classic SQL warehouse to a pro SQL warehouse. You can also downgrade from serverless to pro or classic. This feature only affects Databricks SQL. It does not affect how Databricks Runtime clusters work with notebooks and jobs in the Data Science & Engineering or Databricks Machine Learning workspace environments. Databricks Runtime clusters always run in the classic data plane in your AWS account. See Serverless quotas. If your account needs updated terms of use, workspace admins are prompted in the Databricks SQL UI. If your workspace has an AWS instance profile, you might need to update the trust relationship to support serverless compute, depending on how and when it was created.
By default, when you create a new DBSQL warehouse using the UI, it will be a serverless SQL warehouse. However, when creating the same using the API, you will have to explicitly specify that it is a pro SQL warehouse.
We also believe that the important issues of bias, accountability and AI safety should be addressed by a broad community of diverse stakeholders rather than just a few large companies. Open-sourced datasets and models encourage commentary, research and innovation that will help to ensure everyone benefits from advances in artificial intelligence technology.
As a technical and research artifact, we don't expect Dolly to be state-of-the-art in terms of effectiveness. However, we do expect Dolly and the open source dataset will act as the seed for a multitude of follow-on works, which may serve to bootstrap even more powerful language models.
To download Dolly 2.0 model weights simply visit the Databricks Hugging Face page and visit the Dolly repo on databricks-labs to download the databricks-dolly-15k dataset. And join our webinar to discover how you can harness LLMs for your organization.
The Dolly Parton Moment owes a lot to nostalgia. She has simply lived long enough, performed at a high level for enough years that we can spare the warm fuzzies she inspires in us. Nostalgia blunts the politics that produces all art, especially middlebrow art of the kind Parton creates. Even if you remember that 9 to 5 was part of a mainstreaming of big-tent working-woman feminism, you cannot feel the urgency of the time. The shoulder pads and Equal Rights Amendment and raucous debates on the Phil Donahue Show are artifacts now. There is no petition to sign, no march to attend and fight to be had about whether women belong in the workplace. Nostalgic celebrity is a neutered artist. We like that.
I have been in meetings recently where an ice breaker is 'what did you want to be when you grew up?' I have struggled to answer, I look back on my white southern girlhood and I can find no yearning to be something. This essay helped clarify why. Me wanting to be something was vulgar and I couldn't survive being vulgar. So I waited and watched and then, when no one was looking, I ran.
So in this way, blondeness signifies youth, even to the point of childishness, which is why so many more women than men lighten their hair. Childish qualities are valued in women. The stereotype of the dumb blonde supports this -- dumbness is a kind of innocence.
And of course, this also comports with why blondeness maps on to extreme Whiteness: because in a culture that relentlessly associates Blackness with criminality, Whiteness, its opposite, must be innocent.
Dolly Parton is having a moment. After 60 years in public life, the sassy songbird in indelible drag is a reigning queen among pop culture\u2019s most elite celebrity tier: the \u201Cunproblematic fave.\u201D Those are celebrities who have transcended whatever domain first made them famous, have not disappointed their core fanbase, and manage to avoid a casual audience\u2019s wrath. Rare in its own right, Dolly\u2019s ascension is even more noteworthy because of what she is selling. Mediatized to our collective eyeteeth and insolent in our aesthetic preferences, we usually denigrate Dolly\u2019s type of earnest sentimentality in the discourse. Yet over the past five years, it has become verboten to dislike her, much less to critique her. By tacit consensus, Dolly Parton is the one good thing in our empire\u2019s twilight.
To her extreme credit, we also just like Dolly because she is very likeable. The Dolly Parton Moment wraps her appeal in an artistic halo, beckoning to audiences once too sophisticated to appreciate her in public. Whether you grew up dismissive of her trashy drag or ashamed of liking \u201CIslands in the Stream,\u201D it is now safe to appreciate what has always been true: The woman can write her ass off. Her gift is one that is easy to overlook as mere folk. That is the category sophisticated people place art done by women, by and for poor or rural people, by people of color, created outside of a cultural institution, and that uses pastoral themes. Home. Love. Longing. Desire. Faith. Those sound basic and they are. Dolly\u2019s creative genius is multifold and one of its top tiers is how deceptively easy her songwriting appears. Maybe anyone could write something like: \u201CI don\u2019t love you/and the grass is blue.\u201D But anyone didn\u2019t, and you didn\u2019t either. Because you can\u2019t. The woman has earned her nostalgic moment in the sun; the question is whether we have earned the rose-tinted glasses through which we see her.
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