All information about Code Llama an AI Tool for Coding is given as under. Released under a community license, Code Llama is an extension of Llama 2, fine-tuned with law-specific datasets to enhance its coding capabilities. It can induce law and natural language explanations for law-related prompts and, support law completion, and debugging in popular programming languages.
About Code Llama:
Code Llama is the one-stop- shop for advancing your career( and your payment) as a Software mastermind to the coming position. Our point is grounded around a literacy system called spaced reiteration( or distributed practice), in which problems are redefined at an adding interval as you continue to progress. In other words, the more you get a problem right, the less constantly you’ll review it, and vice versa. Spaced reiteration has been shown by several studies as being one of the most effective mechanisms for literacy and structuring long-term memory(). Our system uses our own variation of a heavily delved-spaced reiteration algorithm called SuperMemo- 2( SM2)( 4) which tracks a sprinkle of signals from your performance to determine the optimal review interval for a given problem. Couple this with our curated collection of literacy coffers and you’re well on your way to acing your coming phone screen or onsite interview.
Three types of Codes:
We are releasing three sizes of Code Llama with 7B, 13B, and 34B parameters respectively. Each of these models is trained with 500B tokens of code and code-related data. The 7B and 13B base and instruct models have also been trained with fill-in-the-middle (FIM) capability, allowing them to insert code into existing code, meaning they can support tasks like code completion right out of the box.
But how does it know if I got the problem right?
Since we don’t want to resuscitate the wheel then, Code Llama simply redirects you to LeetCode for each problem you review. In order to track your progress, when you’re done with the problem and return to the point you’ll be urged to give yourself a score from 0 to 5. This is one of the crucial factors in determining when you should review the problem next, so make sure you’re being honest with yourself, or differently, you’ll miss out on the benefits of spaced reiteration entirely. When scoring, you can use this as a general reference
0″ Total knockout”, complete failure to recall the information.
1 Incorrect response, but upon seeing the correct answer it felt familiar.
2 Incorrect response, but upon seeing the correct answer it sounded easy to flash back.
3 Correct response, but needed significant trouble to recall.
4 Correct response, after some vacillation.
5 Correct response with perfect recall.
And that’s it! We’ll take care of the calculation and heavy- lifting behind the scenes and modernize your problem review schedule each time you complete one.
Note:
You may find that it takes you a while to get through the original problem list for the first time – that’s OK! As you continue to review problems more constantly, if you keep getting them right( i.e. scoring a 3 or advanced) the problems will be due for review less and less constantly, giving you a plenitude of openings to progress through the list. Problems should gradationally get mixed into your diurnal review as you continue to ameliorate. And either, no point in moving on from a problem before you’ve really got it down. This is why we generally recommend using the diurnal review tool we give rather than opting for problems collectively, as you may feel ready to move on before your scores agree. Always go with the data! You can also take advantage of the problem label drop-down ( coming to the Daily Review button) to review a lower selection of problems at a time or exercise a specific order you are looking to ameliorate.
Flashback, the thing then’s to form a robust foundation for long-term recall, so be patient and trust the process, giving yourself time to slightly forget a problem is a pivotal element of the spaced reiteration system and largely responsible for its overall efficacity. This can feel frustrating at times, but we’re confident that if you stick with it you’ll be pleased with the continuing results.