Home Blog Page 3792

AI21 Labs Launched Jamba 1.5 Household of Open Fashions: Jamba 1.5 Mini and Jamba 1.5 Massive Redefining Lengthy-Context AI with Unmatched Velocity, High quality, and Multilingual Capabilities for International Enterprises

codesanitize
-
0
AI21 Labs Launched Jamba 1.5 Household of Open Fashions: Jamba 1.5 Mini and Jamba 1.5 Massive Redefining Lengthy-Context AI with Unmatched Velocity, High quality, and Multilingual Capabilities for International Enterprises


AI21 Labs has made a big stride within the AI panorama by releasing the Jamba 1.5 household of open fashions, comprising Jamba 1.5 Mini and Jamba 1.5 Massive. These fashions, constructed on the novel SSM-Transformer structure, characterize a breakthrough in AI expertise, significantly in dealing with long-context duties. AI21 Labs goals to democratize entry to those highly effective fashions by releasing them underneath the Jamba Open Mannequin License, encouraging widespread experimentation and innovation.

Key Options of the Jamba 1.5 Fashions

One of many standout options of the Jamba 1.5 fashions is their skill to deal with exceptionally lengthy contexts. They boast an efficient context window of 256K tokens, the longest available in the market for open fashions. This function is essential for enterprise purposes requiring the evaluation and summarization of prolonged paperwork. The fashions additionally excel in agentic and Retrieval-Augmented Technology (RAG) workflows, enhancing each the standard and effectivity of those processes.

Concerning pace, the Jamba 1.5 fashions are as much as 2.5 instances quicker on lengthy contexts than their opponents, and so they keep superior efficiency throughout all context lengths inside their dimension class. This pace benefit is essential for enterprises that want speedy turnaround instances for duties similar to buyer assist or large-scale information processing.

The standard of the Jamba 1.5 fashions is one other space the place they outshine their friends. Jamba 1.5 Mini has been acknowledged because the strongest open mannequin in its dimension class, reaching a rating of 46.1 on the Enviornment Onerous benchmark, outperforming bigger fashions like Mixtral 8x22B and Command-R+. Jamba 1.5 Massive goes even additional, scoring 65.4, which surpasses main fashions similar to Llama 3.1 70B and 405B. This high-quality efficiency throughout totally different benchmarks highlights the robustness of the Jamba 1.5 fashions in delivering dependable and correct outcomes.

Multilingual Assist and Developer Readiness

Along with their technical prowess, the Jamba 1.5 fashions are designed with multilingual assist, catering to languages similar to Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew. This makes them versatile instruments for world enterprises working in numerous linguistic environments.

For builders, Jamba 1.5 fashions provide native assist for structured JSON output, operate calling, doc object digestion, and quotation era. These options make the fashions adaptable to varied improvement wants, enabling seamless integration into present workflows.

Deployment and Effectivity

AI21 Labs has ensured that the Jamba 1.5 fashions are accessible and deployable throughout a number of platforms. They’re out there for speedy obtain on Hugging Face and are supported by main cloud suppliers, together with Google Cloud Vertex AI, Microsoft Azure, and NVIDIA NIM. The fashions are anticipated to be out there quickly on further platforms similar to Amazon Bedrock, Databricks Market, Snowflake Cortex, and others, making them simply deployable in varied environments, together with on-premises and digital non-public clouds.

One other essential benefit of the Jamba 1.5 fashions is their useful resource effectivity. Constructed on a hybrid structure that mixes the strengths of Transformer and Mamba architectures, these fashions provide a decrease reminiscence footprint, permitting enterprises to deal with intensive context lengths on a single GPU. AI21 Labs’ novel quantization approach, ExpertsInt8, additional enhances this effectivity, which optimizes mannequin efficiency with out compromising high quality.

Conclusion

The discharge of the Jamba 1.5 household by AI21 Labs marks a big development in long-context dealing with. These fashions set new benchmarks in pace, high quality, and effectivity and democratize entry to cutting-edge AI expertise by means of their open mannequin license. As enterprises proceed to hunt AI options that ship real-world worth, the Jamba 1.5 fashions stand out as highly effective instruments able to assembly the calls for of complicated, large-scale purposes. Their availability throughout a number of platforms and assist for multilingual environments additional improve their attraction, making them a flexible alternative for builders and companies.

Take a look at the Jamba 1.5 mini, Jamba 1.5 massive, and Particulars. All credit score for this analysis goes to the researchers of this challenge. Additionally, don’t neglect to comply with us on Twitter and be part of our Telegram Channel and LinkedIn Group. In the event you like our work, you’ll love our publication..

Don’t Neglect to hitch our 49k+ ML SubReddit

Discover Upcoming AI Webinars right here


Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is dedicated to harnessing the potential of Synthetic Intelligence for social good. His most up-to-date endeavor is the launch of an Synthetic Intelligence Media Platform, Marktechpost, which stands out for its in-depth protection of machine studying and deep studying information that’s each technically sound and simply comprehensible by a large viewers. The platform boasts of over 2 million month-to-month views, illustrating its recognition amongst audiences.

🐝 Be part of the Quickest Rising AI Analysis E-newsletter Learn by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and lots of others…



California is the robotics capital of the world

codesanitize
-
0
California is the robotics capital of the world


I got here to the Silicon Valley area in 2010 as a result of I knew it was the robotics heart of the world, but it surely actually doesn’t get wherever close to the media consideration that another robotics areas do. In California, robotics know-how is a small fish in a a lot larger know-how pond, and that tends to hide how essential Californian corporations are to the robotics revolution.

This conservative dataset from Pitchbook [Vertical: Robotics and Drones] gives information for 7166 robotics and drones corporations, though a extra personalized search would supply nearer to 10,000 robotics corporations world large. Areas ordered by dimension are:

  • North America 2802
  • Asia 2337
  • Europe 2285
  • Center East 321
  • Oceania 155
  • South America 111
  • Africa 63
  • Central America 13

 

  1. California = 843 (667) * no of corporations adopted by no of head quarters
  2. Texas = 220 (159)
  3. New York = 193 (121)
  4. Massachusetts = 191 (135)
  5. Florida = 136 (95)
  6. Pennsylvania = 113 (89)
  7. Washington = 85 (61)
  8. Colorado = 83 (57)
  9. Virginia = 81 (61)
  10. Michigan = 70 (56)
  11. Illinois = 66 (43)
  12. Ohio = 65 (56)
  13. Georgia = 64 (46)
  14. New Jersey = 53 (36)
  15. Delaware = 49 (18)
  16. Maryland = 48 (34)
  17. Arizona = 48 (37)
  18. Nevada = 42 (29)
  19. North Carolina = 39 (29)
  20. Minnesota = 31 (25)
  21. Utah = 30 (24)
  22. Indiana = 29 (26)
  23. Oregon = 29 (20)
  24. Connecticut = 27 (22)
  25. DC = 26 (12)
  26. Alabama = 25 (21)
  27. Tennessee = 20 (18)
  28. Iowa = 17 (14)
  29. New Mexico = 17 (15)
  30. Missouri = 17 (16)
  31. Wisconsin = 15 (12)
  32. North Dakota = 14 (8)
  33. South Carolina = 13 (11)
  34. New Hampshire = 13 (12)
  35. Nebraska = 13 (11)
  36. Oklahoma = 10 (8)
  37. Kentucky = 10 (7)
  38. Kansas = 9 (9)
  39. Louisiana = 9 (8)
  40. Rhode Island = 8 (6)
  41. Idaho = 8 (6)
  42. Maine = 5 (5)
  43. Montana = 5 (4)
  44. Wyoming = 5 (3)
  45. Mississippi = 3 (1)
  46. Arkansas = 3 (2)
  47. Alaska = 3 (3)
  48. Hawaii = 2 (1)
  49. West Virginia = 1 (1)
  50. South Dakota = 1 (0)

Notice – this quantity in brackets is for HQ places, whereas the primary quantity is for all firm places. The top outcomes and rankings are virtually the identical.

 

  1. China = 1350
  2. Japan = 283
  3. India = 261
  4. South Korea = 246
  5. Israel = 193
  6. Hong Kong = 72
  7. Russia = 69
  8. United Arab Emirates = 50
  9. Turkey = 48
  10. Malaysia = 35
  11. Taiwan = 21
  12. Saudi Arabia = 19
  13. Thailand = 13
  14. Vietnam = 12
  15. Indonesia = 10
  16. Lebanon = 7
  17. Kazakhstan = 3
  18. Iran = 3
  19. Kuwait = 3
  20. Oman = 3
  21. Qatar = 3
  22. Pakistan = 3
  23. Philippines = 2
  24. Bahrain = 2
  25. Georgia = 2
  26. Sri Lanka = 2
  27. Azerbaijan = 1
  28. Nepal = 1
  29. Armenia = 1
  30. Burma/Myanmar = 1

Nations with no robotics; Yemen, Iraq, Syria, Turkmenistan, Afghanistan, Syria, Jordan, Uzbekistan, Kyrgyzstan, Tajikistan, Bangladesh, Bhutan, Mongolia, Cambodia, Laos, North Korea, East Timor.

 

  1. United Kingdom = 443
  2. Germany = 331
  3. France = 320
  4. Spain = 159
  5. Netherlands = 156
  6. Switzerland = 140
  7. Italy = 125
  8. Denmark = 115
  9. Sweden = 85
  10. Norway = 80
  11. Poland = 74
  12. Belgium = 72
  13. Russia = 69
  14. Austria = 51
  15. Turkey = 48
  16. Finland = 45
  17. Portugal = 36
  18. Eire = 28
  19. Estonia = 24
  20. Ukraine = 22
  21. Czech Republic = 19
  22. Romania = 19
  23. Hungary = 18
  24. Lithuania = 18
  25. Latvia = 15
  26. Greece = 15
  27. Bulgaria = 11
  28. Slovakia = 10
  29. Croatia = 7
  30. Slovenia = 6
  31. Serbia = 6
  32. Belarus = 4
  33. Iceland = 3
  34. Cyprus = 2
  35. Bosnia & Herzegovina = 1

Nations with no robotics; Andorra, Montenegro, Albania, Macedonia, Kosovo, Moldova, Malta, Vatican Metropolis.

 

  1. Ontario = 144
  2. British Colombia = 60
  3. Quebec = 53
  4. Alberta = 34
  5. Manitoba = 7
  6. Saskatchewan = 6
  7. Newfoundland & Labrador = 2
  8. Yukon = 1

Areas with no robotics; Nunavut, Northwest Territories.



Silicon Valley Robotics
is an business affiliation supporting innovation and commercialization of robotics applied sciences.

Silicon Valley Robotics
is an business affiliation supporting innovation and commercialization of robotics applied sciences.

Kvitto 1.0.4 | Cocoanetics

codesanitize
-
0
Kvitto 1.0.4 | Cocoanetics


Sep 28, 2020

Kvitto is an open supply part that permits you to parse Apple gross sales receipt information, for instance to find out if the person has an lively auto-renewing subscription on machine.

This new launch fixes an pressing difficulty that appeared the primary time on September twenty fourth, in iOS 14, the place about half the gross sales receipts couldn’t be parsed. I additionally added help for Swift Bundle Supervisor 2 weeks in the past and had forgotten to announce the discharge, so there you go.

Adjustments

  • NEW: Assist Swift Bundle Supervisor
  • FIXED: dates with fractional seconds wouldn’t be parsed
  • FIXED: Calm down examine for sequence in root of PKCS7 container, as Apple would possibly generally provide solely 3 parts as an alternative of 5

After seeing and collaborating with a couple of motivated builders on including SPM help to DTFoundation and DTCoreText I felt empowered to deal with this for Kvitto myself.

Concerning the mounted bug… I received first phrase about new points with Kvitto from Canada on September twenty fifth:

We’ve been getting some emails prior to now couple days from customers saying their subscription isn’t validating.

At first I shrugged this off, as a result of I hadn’t modified something, and why would Apple change one thing right here? However then within the night of September twenty seventh, I received an in depth difficulty report from Germany, pinpointing the difficulty as being associated to Apple now generally together with fractional seconds on date fields. So as an alternative of 2020-09-27T12:07:19Z we’d now – generally, not all the time – get 2020-09-27T12:07:19.686Z – which NSDateFormatter will not be good sufficient to disregard.

My repair is principally to examine the size of the string after which use the proper date format for that.

The discharge has been tagged on GitHub, thus is out there through Swift Bundle Supervisor on the grasp department, and it has additionally been launched through CocoaPods trunk.


Additionally printed on Medium.

Tagged as:

Classes: Updates

CISA Warns of Vital Jenkins Vulnerability Exploited in Ransomware Assaults

codesanitize
-
0
CISA Warns of Vital Jenkins Vulnerability Exploited in Ransomware Assaults


Aug 20, 2024Ravie LakshmananVulnerability / Ransomware

CISA Warns of Vital Jenkins Vulnerability Exploited in Ransomware Assaults

The U.S. Cybersecurity and Infrastructure Safety Company (CISA) has added a crucial safety flaw impacting Jenkins to its Identified Exploited Vulnerabilities (KEV) catalog, following its exploitation in ransomware assaults.

The vulnerability, tracked as CVE-2024-23897 (CVSS rating: 9.8), is a path traversal flaw that might result in code execution.

“Jenkins Command Line Interface (CLI) incorporates a path traversal vulnerability that enables attackers restricted learn entry to sure information, which may result in code execution,” CISA mentioned in an announcement.

Cybersecurity

It was first disclosed by Sonar safety researchers in January 2024 and addressed in Jenkins variations 2.442 and LTS 2.426.3 by disabling the command parser function.

Again in March, Pattern Micro mentioned it uncovered a number of assault situations originating from the Netherlands, Singapore, and Germany, and that it discovered situations the place distant code execution exploits for the flaw have been actively being traded.

Jenkins Vulnerability Ransomware Attacks

In current weeks, CloudSEK and Juniper Networks have revealed a collection of cyber assaults exploiting CVE-2024-23897 within the wild to infiltrate the businesses BORN Group and Brontoo Know-how Options.

The assaults have been attributed to risk actor often called IntelBroker and the RansomExx ransomware gang, respectively.

Cybersecurity

“CVE-2024-23897 is an unauthenticated LFI vulnerability that enables attackers to learn arbitrary information on the Jenkins server,” CloudSEK mentioned. “This vulnerability arises from improper enter validation, enabling attackers to control particular parameters and trick the server into accessing and displaying the contents of delicate information.”

Jenkins Vulnerability Ransomware Attacks

In gentle of the energetic exploitation of the vulnerability, Federal Civilian Govt Department (FCEB) companies have time until September 9, 2024, to use the fixes and safe their networks in opposition to energetic threats.

Discovered this text fascinating? Comply with us on Twitter and LinkedIn to learn extra unique content material we publish.



Report suggests Quest Professional 2 has been canceled, however a Meta exec says that is not the entire story

codesanitize
-
0
Report suggests Quest Professional 2 has been canceled, however a Meta exec says that is not the entire story



What you could know

  • A report states Meta’s CEO Mark Zuckerberg and CTO Andrew Bosworth have knowledgeable staff to cease the Quest Professional 2 challenge.
  • Sources allege that the “excessive price” of parts and different ambitions doubtless attributed to the choice.
  • Bosworth chimed in on Threads, stating that this is not the entire story and that Meta has many prototypes on deck and a few do not make the minimize.

But once more, Meta has reportedly canceled improvement for the Quest Professional 2 XR headset.

The report stems from The Data, which states that “Meta staff” knowledgeable the publication a couple of canceled “high-end combined actuality” challenge (through Add VR). The gadget in query is codenamed “La Jolla,” which was said to be the Meta Quest Professional 2. Supposedly, the Actuality Labs group engaged on the challenge needed to maintain prices low and promote the gadget for beneath $1,000.



1...3,7913,7923,793...4,063Page 3,792 of 4,063
© Newspaper WordPress Theme by TagDiv