Mistral releases Timestral probabilistic forecasting models in four sizes

Timestral is a family of state-of-the-art probabilistic forecasting models in four sizes from 5M to 209M parameters, designed to be CPU-efficient and ready for zero-shot use.

Name

Timestral

Params

5M-209M

Read it at Mistral AI → 💬 1 on HN

Coverage: 75 sources, in order

1. 13 Oct 12:00 NVIDIA Blog Read the article →
2. 13 Oct 12:08 NVIDIA Blog Read the article →
3. 13 Oct 13:15 The Hindu Read the article →
4. 13 Oct 13:55 The Verge Read the article →
5. 13 Oct 14:12 Blockchain News Read the article →
6. 13 Oct 14:44 Gadget Pilipinas Read the article →
7. 14 Oct 03:42 TechPowerUp Read the article →
8. 14 Oct 07:01 Inven Global Read the article →
9. 14 Oct 08:30 DLCompare.com Read the article →
10. 14 Oct 08:55 GameGPU Read the article →
11. 14 Oct 10:00 igor´sLAB Read the article →
12. 14 Oct 11:32 The FPS Review Read the article →
13. 14 Oct 11:34 Club386 Read the article →
14. 14 Oct 14:02 PCMag Read the article →
15. 14 Oct 15:06 Yahoo Tech Read the article →
16. 14 Oct 15:35 MMORPG.com Read the article →
17. 14 Oct 15:35 MMORPG.com Read the article →
18. 14 Oct 15:48 TwistedVoxel Read the article →
19. 14 Oct 16:28 Techaeris Read the article →
20. 14 Oct 19:20 The Gadgeteer Read the article →
21. 14 Oct 21:58 https://tech-insider.org/ Read the article →
22. 15 Oct 02:02 shattered.io Read the article →
23. 15 Oct 04:07 The Gadgeteer Read the article →
24. 15 Oct 12:00 Mistral AI Read the article →
25. 15 Oct 12:00 Engadget Read the article →
26. 15 Oct 12:00 Tom's Guide Read the article →
27. 15 Oct 12:00 The Verge Read the article →
28. 15 Oct 12:00 Engadget Read the article →
29. 15 Oct 12:00 Creative Bloq Read the article →
30. 15 Oct 12:00 The Verge Read the article →
31. 15 Oct 12:00 Tom's Guide Read the article →
32. 15 Oct 12:00 Tom's Hardware Read the article →
33. 15 Oct 12:00 Tom's Hardware Read the article →
34. 15 Oct 12:00 Gizmodo Read the article →
35. 15 Oct 12:36 Creative Bloq Read the article →
36. 15 Oct 12:38 VideoCardz.com Read the article →
37. 15 Oct 13:00 Engadget Read the article →
38. 15 Oct 13:00 Engadget Read the article →
39. 15 Oct 13:00 Gizmodo Read the article →
40. 15 Oct 13:09 HotHardware Read the article →
41. 15 Oct 14:30 The Verge Read the article →
42. 15 Oct 14:30 The Verge Read the article →
43. 15 Oct 15:08 Mistral AI Read the article →
44. 15 Oct 15:08 mistral.ai Read the article →
45. 15 Oct 15:32 Reddit Read the article →
46. 15 Oct 15:40 Tech Edition Read the article →
47. 15 Oct 16:00 The Verge Read the article →
48. 15 Oct 16:28 Mezha.net Read the article →
49. 15 Oct 16:39 Thurrott.com Read the article →
50. 15 Oct 17:00 NVIDIA Blog Read the article →
51. 15 Oct 17:02 Voice of Alexandria Read the article →
52. 15 Oct 17:03 NVIDIA Blog Read the article →
53. 15 Oct 17:03 NVIDIA Newsroom Read the article →
54. 15 Oct 17:08 PCMag Australia Read the article →
55. 15 Oct 17:08 PCMag UK Read the article →
56. 15 Oct 17:09 PCMag Read the article →
57. 15 Oct 17:24 Breakingthenews.net Read the article →
58. 15 Oct 17:24 Unite.AI Read the article →
59. 15 Oct 18:03 Pulse 2.0 Read the article →
60. 15 Oct 18:27 Jon Peddie Research Read the article →
61. 15 Oct 18:33 GuruFocus Read the article →
62. 15 Oct 18:46 Tom's Guide Read the article →
63. 15 Oct 19:34 Investing News Network Read the article →
64. 16 Oct 11:00 CGMagazine Read the article →
65. 16 Oct 12:00 GlobeNewswire Read the article →
66. 16 Oct 12:00 Yahoo Finance Singapore Read the article →
67. 16 Oct 12:03 NVIDIA Newsroom Read the article →
68. 16 Oct 12:05 Ultrabookreview.com Read the article →
69. 16 Oct 12:06 Computerworld Read the article →
70. 16 Oct 12:12 Quiver Quantitative Read the article →
71. 16 Oct 12:24 Unite.AI Read the article →
72. 16 Oct 14:32 TechPowerUp Read the article →
73. 16 Oct 15:07 The Shortcut | Matt Swider Read the article →
74. 16 Oct 15:37 The Tech Buzz Read the article →
75. 16 Oct 16:25 BigGo Finance Read the article →

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