Free Dolly: 世界初の真にオープンな指示でチューニングされたLLM

How do I build a campfire?

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.

With safety out of the way, all a fire needs are heat, fuel, and oxygen. Any combustible material will start a fire, but good campfire fuel sources include tinder, kindling, and dry logs.

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.

Instead of making a peanut butter and jelly sandwich, what else could I combine peanut butter with in a sandwich? Give five ideas.

Instead of jelly, try one of the following with peanut butter in a sandwich:

1. Honey

2. Raisins

3. Fruit preserves

4. Bananas

5. Sliced apples

What is the default configuration for new DBSQL warehouses?
Input:

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.

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