Richard Hirsh; John McCallum; OpenAI Details on Page 138 0 Years 72 Years Electric Power Computer Memory AI Inference AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise its 365 product suite 3/23: Anthropic releases Claude, its AI assistant focused on safety & inter- pretability 3/24: USA Department of Homeland Security unveils its AI Roadmap 11/23: 28 countries, including USA, EU members & China, sign Bletchley Declaration on AI Safety 4/24: Meta Platforms releases its open- source** Llama 3 model with 70B parameters

ownership with smart pointers. “Ownership” is a bookkeeping technique for managing dynamically allocated memory (and other resources). The owner of a dynamically allocated object is an object or function that the last std::shared_ptr is destroyed. • It’s virtually impossible to manage dynamically allocated memory without some sort of ownership logic. • Transferring ownership of an object can be cheaper than copying readabil- ity and complexity costs. • APIs that transfer ownership force their clients into a single memory man- agement model. • Code using smart pointers is less explicit about where the resource releases

conversational sessions, which encompass various domains such as math, code, writing, reasoning, safety, and more, to perform Supervised Fine-Tuning (SFT) for DeepSeek-V2 Chat (SFT). Finally, we follow the KV joint compression in MLA reduces the KV cache. Moreover, in order to reduce the activation memory during training, we also perform 7 low-rank compression for the queries, even if it cannot reduce relatively few activated parameters, and a portion of the operators are recomputed to save acti- vation memory, it can be trained without the necessity of tensor parallelism, thereby decreasing the communication

the computer only needs to remember how white a color is. This is why grayscale is more efficient memory-wise. In fact, if you look at each channel separately, they also look like grayscale images, but system, so it can ask it for a lot of these things: It would like to display things, and use the memory, and so on. Most importantly, it would like to get information from the tablet! But it can’t! Turns spaces, and layer color spaces, the latter which can save memory if used right. For example, having a line art layer in grayscale can half the memory costs. Image color space vs layer color space vs conversion

S. See also MT_APERTIUM_KEY, http://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MACHINE_TRANSLATION_SERVICES. See also http://www.open-tran.eu/ tmserver You can run your own translation memory server which is bundled with Translate- toolkit and let Weblate talk to it. You can also use it with

S. See also MT_APERTIUM_KEY, http://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MACHINE_TRANSLATION_SERVICES. See also http://www.open-tran.eu/ tmserver You can run your own translation memory server which is bundled with Translate- toolkit and let Weblate talk to it. You can also use it with

. See also MT_APERTIUM_KEY, https://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MT_MYMEMORY_USER, MT_MYMEMORY_KEY, http://mymemory.translated.net/ tmserver You can run your own translation memory server which is bundled with Translate- toolkit and let Weblate talk to it. You can also use it with

See also: MT_APERTIUM_KEY, https://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MT_MYMEMORY_USER, MT_MYMEMORY_KEY, http://mymemory.translated.net/ tmserver You can run your own translation memory server which is bundled with Translate-toolkit and let Weblate talk to it. You can also use it with

See also: MT_APERTIUM_KEY, https://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MT_MYMEMORY_USER, MT_MYMEMORY_KEY, http://mymemory.translated.net/ tmserver You can run your own translation memory server which is bundled with Translate-toolkit and let Weblate talk to it. You can also use it with

. See also MT_APERTIUM_KEY, https://www.apertium.org/ Glosbe Free dictionary and translation memory for almost every living language. API is free to use, regarding indicated data source license. There com/translator/, https://datamarket.azure.com/developer/applications/ MyMemory Huge translation memory with machine translation. Free, anonymous usage is currently limited to 100 requests/day, or to MT_MYMEMORY_USER, MT_MYMEMORY_KEY, http://mymemory.translated.net/ tmserver You can run your own translation memory server which is bundled with Translate- toolkit and let Weblate talk to it. You can also use it with