User contributions for Gmelli
Jump to navigation
Jump to search
27 November 2023
- 22:5422:54, 27 November 2023 diff hist +21 NVIDIA H200 GPU No edit summary
- 22:5422:54, 27 November 2023 diff hist +20 NVIDIA Hopper GH200 No edit summary
- 22:5122:51, 27 November 2023 diff hist +46 NVIDIA H200 GPU No edit summary
- 22:5022:50, 27 November 2023 diff hist +33 NVIDIA Corporation No edit summary
- 22:5022:50, 27 November 2023 diff hist +1,255 N NVIDIA H200 GPU Created page with "An NVIDIA H200 GPU is a high-end GPU. * <B>See:</B> H100, NVIDIA GPU. ---- ---- == References == === 2023 === * GBard ** The NVIDIA H200 is a high-end GPU designed for training and deploying artificial intelligence (AI) models. It is based on the NVIDIA Hopper architecture and is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s) —that's nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X mo..."
- 22:4922:49, 27 November 2023 diff hist −1,207 NVIDIA H200 Redirected page to NVIDIA H200 GPU current Tag: New redirect
- 22:4922:49, 27 November 2023 diff hist +1,236 N NVIDIA H200 Created page with "An NVIDIA H200 is a high-end GPU. * <B>See:</B<> H100. ---- ---- == References == === 2023 === * GBard ** The NVIDIA H200 is a high-end GPU designed for training and deploying artificial intelligence (AI) models. It is based on the NVIDIA Hopper architecture and is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s) —that's nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth..."
- 22:4922:49, 27 November 2023 diff hist +25 N H200 Redirected page to NVIDIA H200 Tag: New redirect
- 22:4722:47, 27 November 2023 diff hist +18 N H-200 Redirected page to H200 Tag: New redirect
- 22:3622:36, 27 November 2023 diff hist +4,451 N Cryptographic Algorithm Created page with "A Cryptographic Algorithm is a data processing algorithm that can be implemented by a cryptographic system to solve a cryptographic task (to protect information by transforming it into a secure format). * <B>Context:</B> ** It can (typically) involve the process of Encryption and Decryption. ** It can (typically) evolve to adapt to the increasing Computational Power and Cryptanalytic Techniques. ** It can (typically) be categorized into ..."
- 22:3622:36, 27 November 2023 diff hist −4,389 Cryptography Algorithm Redirected page to Cryptographic Algorithm current Tag: New redirect
- 22:3522:35, 27 November 2023 diff hist +4,426 N Cryptography Algorithm Created page with "A Cryptography Algorithm is a Computing Science Concept within the Information Security Subject Area that is designed to protect information by transforming it into a secure format. * <B>Context:</B> ** It can (typically) involve the process of Encryption and Decryption. ** It can (typically) evolve to adapt to the increasing Computational Power and Cryptanalytic Techniques. ** It can (typically) be categorized into Symmetric-Key Cryptograph..."
- 22:2922:29, 27 November 2023 diff hist −2,682 Cryptographic algorithm Replaced content with "#REDIRECT Cryptographic Algorithm" current Tag: Replaced
- 22:2922:29, 27 November 2023 diff hist +2,237 Cryptographic algorithm Redirected page to Cryptographic Algorithm Tag: New redirect
- 20:0520:05, 27 November 2023 diff hist +850 Algorithmic Concept No edit summary
- 20:0220:02, 27 November 2023 diff hist +4,047 N Advanced Encryption Standard (AES) Created page with "An Advanced Encryption Standard (AES) is an encryption standard that specifies the encryption of electronic data using a symmetric-key algorithm. * <B>Context:</B> ** It can (typically) be established by the U.S. National Institute of Standards and Technology (NIST) in 2001. ** It can (typically) be based on a Rijndael Block Cipher. ** It can offer key lengths, such as: 128, 192, and 256 bits, each with a block size of 128 bits. ** It is used for..."
- 20:0220:02, 27 November 2023 diff hist −2,844 Advanced Encryption Standard Redirected page to Advanced Encryption Standard (AES) current Tag: New redirect
- 19:5819:58, 27 November 2023 diff hist −98 Advanced Encryption Standard No edit summary
- 18:1118:11, 27 November 2023 diff hist −2,383 Information Retrieval Evaluation Task Redirected page to Information Retrieval (IR) System Evaluation Task current Tags: New redirect Manual revert
- 18:1018:10, 27 November 2023 diff hist +2,383 Information Retrieval Evaluation Task Removed redirect to Information Retrieval (IR) System Evaluation Task Tags: Removed redirect Reverted
- 18:0818:08, 27 November 2023 diff hist −21 Law (Principle) No edit summary
- 18:0618:06, 27 November 2023 diff hist +29 N law (principle) Redirected page to Law (Principle) current Tag: New redirect
- 18:0618:06, 27 November 2023 diff hist +1,768 N Scaling Law Created page with "A Scaling Law is a law (principle) that can describe how a scaleable system behavior changes with its system size. * <B>Context:</B> ** It can be used to predict how a system's behavior or performance will change as the system's size or other parameters are scaled. ** It can help in understanding the limitations and potentials of Scalable Systems. ** It can range from being a Theoretical Scaling Law to being an Empirical Sca..."
- 18:0418:04, 27 November 2023 diff hist +29 N scaling law Redirected page to Scaling Law current Tag: New redirect
- 18:0218:02, 27 November 2023 diff hist +2,665 N LLM Scaling Law Created page with "A LLM Scaling Law is a scaling law that can apply to a Large Language Model. * <B>Context:</B> ** It can (often) involve relationships between the Model Size, Training Dataset Size, Training Cost, and Post-Training Performance. ** It can be with respect to Cross-Entropy Loss. ** It can include findings that the model size and the number of training tokens should be scaled equally for compute-optimal training. ** It can suggest that increas..."
- 18:0118:01, 27 November 2023 diff hist −2,636 LLM Scaling Laws Redirected page to LLM Scaling Law Tag: New redirect
- 18:0118:01, 27 November 2023 diff hist +2,665 N LLM Scaling Laws Created page with "A LLM Scaling Law is a Scaling Law that can apply to a Large Language Model. * <B>Context:</B> ** It can (often) involve relationships between the Model Size, Training Dataset Size, Training Cost, and Post-Training Performance. ** It can be with respect to Cross-Entropy Loss. ** It can include findings that the model size and the number of training tokens should be scaled equally for compute-optimal training. ** It can suggest that increa..."
- 17:3717:37, 27 November 2023 diff hist +18 2022 TrainingComputeOptimalLargeLang No edit summary
- 17:3617:36, 27 November 2023 diff hist +1,028 2022 TrainingComputeOptimalLargeLang No edit summary
- 17:0317:03, 27 November 2023 diff hist +74 Sebastian Borgeaud No edit summary
- 17:0117:01, 27 November 2023 diff hist +43 Sebastian Borgeaud No edit summary
- 17:0117:01, 27 November 2023 diff hist +12 m 2023 HarnessingthePowerofLLMsinPract Text replacement - " Sebastian Borgeaud" to " Sebastian Borgeaud"
- 17:0117:01, 27 November 2023 diff hist +8 m 2023 Llama2OpenFoundationandFineTune Text replacement - " Sebastian Borgeaud" to " Sebastian Borgeaud"
- 16:5916:59, 27 November 2023 diff hist −10 Sebastian Borgeaud No edit summary
- 16:5716:57, 27 November 2023 diff hist −132 Sebastian Borgeaud →2022
- 16:5416:54, 27 November 2023 diff hist −40 Oriol Vinyals No edit summary
- 16:5316:53, 27 November 2023 diff hist +1,795 N Sebastian Borgeaud Created page with "Sebastian Borgeaud is a person. * <B>See:</B> [[]]. ---- ---- == References == === 2022 === * (Alayrac et al., 2022) ⇒ Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc et al. (2022). “Flamingo: A Visual Language Model for Few-shot Learning.” Advances in Neural Information Processing Systems 35 </s> === 2022 === * (Hoffmann et al., 2022) ⇒ Jordan Hoffmann, Se..."
- 16:5216:52, 27 November 2023 diff hist +144 2022 TrainingComputeOptimalLargeLang No edit summary
- 16:5116:51, 27 November 2023 diff hist +848 2022 TrainingComputeOptimalLargeLang No edit summary
- 16:5016:50, 27 November 2023 diff hist −3,614 2022 AnEmpiricalAnalysisofComputeOpt Redirected page to 2022 TrainingComputeOptimalLargeLang current Tag: New redirect
- 16:4316:43, 27 November 2023 diff hist 0 m 2022 TrainingComputeOptimalLargeLang Gmelli moved page Test:2022 TrainingComputeOptimalLargeLang to 2022 TrainingComputeOptimalLargeLang without leaving a redirect
- 16:4216:42, 27 November 2023 diff hist +1,449 2022 TrainingComputeOptimalLargeLang No edit summary
- 02:0402:04, 27 November 2023 diff hist +28 Information Retrieval (IR) System Evaluation Task No edit summary
- 02:0402:04, 27 November 2023 diff hist +2,376 N Information Retrieval (IR) System Evaluation Task Created page with "An Information Retrieval (IR) System Evaluation Task is a system evaluation task that assesses the effectiveness of an Information Retrieval System. * <B>Context:</B> ** It can (typically) involve the measurement of Relevance of the retrieved documents to a given Search Query. ** It can (typically) include IR Evaluation Measures such as Precision, Recall, F-Measure, and Mean Average Precision (MAP). ** It can (often) involve Benc..."
- 02:0402:04, 27 November 2023 diff hist −2,511 Information Retrieval Evaluation Task Redirected page to Information Retrieval (IR) System Evaluation Task Tag: New redirect
- 02:0102:01, 27 November 2023 diff hist +46 N IR Evaluation Task Redirected page to Information Retrieval Evaluation Tag: New redirect
- 02:0102:01, 27 November 2023 diff hist +53 Information Retrieval (IR) System No edit summary
- 02:0002:00, 27 November 2023 diff hist +50 N Thomas et al., 2022 Redirected page to 2022 TheCrowdisMadeofPeopleObservati current Tag: New redirect
- 02:0002:00, 27 November 2023 diff hist +448 Information Retrieval Evaluation Task No edit summary
- 01:5901:59, 27 November 2023 diff hist +2,126 N Information Retrieval Evaluation Task Created page with "An Information Retrieval Evaluation Task is a system evaluation task that assesses the effectiveness of an Information Retrieval System. * <B>Context:</B> ** It can (typically) involve the measurement of Relevance of the retrieved documents to a given Search Query. ** It can include Evaluation Measures such as Precision, Recall, F-Measure, and Mean Average Precision (MAP). ** It can be conducted in Test Collections with predefi..."