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#20: Leverage AI the Smart Way: Debug, Test, and Deploy with Unmatched Speed | Nir Gazit from Traceloop

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Manage episode 400935733 series 3511398
Contenido proporcionado por Caveminds. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Caveminds o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Nir Gazit, CEO and Co-Founder of Traceloop, a Y Combinator-backed startup, joins us to share insights from his extensive 15-year career in software development and design, including roles at Google and Fiverr.
In this episode, Nir delves into the origin of Traceloop, key learnings from his experiences, the unique challenges and solutions in LLM observability, and his perspective on the future of AI and Traceloop's role in it.

Traceloop, known for its cutting-edge observability and testing solutions for Large Language Models (LLMs), is at the forefront of ensuring high-quality LLM application performance in production.

IN THIS EPISODE:

  • 00:00 - The origin story of Traceloop and Nir's journey.
  • 06:28 - Key learnings from Google and Fiverr.
  • 11:29 - Inside look at Y Combinator.
  • 13:00 - Problems Traceloop solves for LLM applications.
  • 20:59 - Unveiling the magic of OpenLLMetry.
  • 24:23 - The essentials of backtesting and monitoring.
  • 27:34 - Common oversights by founders in LLMs.
  • 33:30 - Security and privacy considerations in AI.
  • 38:29 - Envisioning the future trajectory of Traceloop.
  • 39:33 - Trends and focus areas in AI according to Nir.
  • 42:54 - Exploring missed business opportunities in AI.
  • 44:03 - The role of AI copilots in development teams.
  • 46:58 - Insights on what founders are overlooking in AI.
  • 47:41 - A discussion on Artificial General Intelligence (AGI).

RESOURCES:
https://www.traceloop.com/

https://www.linkedin.com/in/nirga/

https://www.traceloop.com/docs/openllmetry/introduction

_____________
Tired of having the 30,000 ft view of AI without real application for your business?
We can get into the trenches with AI today and:
- Automate Repetitive Work and Scale
- Cut Out Human Error and Delays
- Save $100,000s in annual costs with AI
Claim a free Mini AI Audit or book an AI Automation Discovery Session with us:
https://www.caveminds.com/ai-automation
https://www.caveminds.com/ai-audit
_____________
Get the Exclusive Guide of this episode and all our previous ones, with full detail on the founder's strategies, mental models and frameworks, expert commentary, and much more benefits by joining our premium community at https://caveminds.com/membership.
_____________
Help us reach new founders by leaving us a rating and review on Apple Podcasts and Spotify!
It takes less than 30 seconds and really helps our show grow, which allows us to bring on even better guests for you all!
Thank you – we really appreciate it!
Follow us for more unique content on:
https://caveminds.beehiiv.com/
https://www.linkedin.com/company/caveminds/
https://twitter.com/caveminds
https://instagram.com/cavemindsai
https://www.youtube.com/@caveminds

  continue reading

35 episodios

Artwork
iconCompartir
 
Manage episode 400935733 series 3511398
Contenido proporcionado por Caveminds. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Caveminds o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Nir Gazit, CEO and Co-Founder of Traceloop, a Y Combinator-backed startup, joins us to share insights from his extensive 15-year career in software development and design, including roles at Google and Fiverr.
In this episode, Nir delves into the origin of Traceloop, key learnings from his experiences, the unique challenges and solutions in LLM observability, and his perspective on the future of AI and Traceloop's role in it.

Traceloop, known for its cutting-edge observability and testing solutions for Large Language Models (LLMs), is at the forefront of ensuring high-quality LLM application performance in production.

IN THIS EPISODE:

  • 00:00 - The origin story of Traceloop and Nir's journey.
  • 06:28 - Key learnings from Google and Fiverr.
  • 11:29 - Inside look at Y Combinator.
  • 13:00 - Problems Traceloop solves for LLM applications.
  • 20:59 - Unveiling the magic of OpenLLMetry.
  • 24:23 - The essentials of backtesting and monitoring.
  • 27:34 - Common oversights by founders in LLMs.
  • 33:30 - Security and privacy considerations in AI.
  • 38:29 - Envisioning the future trajectory of Traceloop.
  • 39:33 - Trends and focus areas in AI according to Nir.
  • 42:54 - Exploring missed business opportunities in AI.
  • 44:03 - The role of AI copilots in development teams.
  • 46:58 - Insights on what founders are overlooking in AI.
  • 47:41 - A discussion on Artificial General Intelligence (AGI).

RESOURCES:
https://www.traceloop.com/

https://www.linkedin.com/in/nirga/

https://www.traceloop.com/docs/openllmetry/introduction

_____________
Tired of having the 30,000 ft view of AI without real application for your business?
We can get into the trenches with AI today and:
- Automate Repetitive Work and Scale
- Cut Out Human Error and Delays
- Save $100,000s in annual costs with AI
Claim a free Mini AI Audit or book an AI Automation Discovery Session with us:
https://www.caveminds.com/ai-automation
https://www.caveminds.com/ai-audit
_____________
Get the Exclusive Guide of this episode and all our previous ones, with full detail on the founder's strategies, mental models and frameworks, expert commentary, and much more benefits by joining our premium community at https://caveminds.com/membership.
_____________
Help us reach new founders by leaving us a rating and review on Apple Podcasts and Spotify!
It takes less than 30 seconds and really helps our show grow, which allows us to bring on even better guests for you all!
Thank you – we really appreciate it!
Follow us for more unique content on:
https://caveminds.beehiiv.com/
https://www.linkedin.com/company/caveminds/
https://twitter.com/caveminds
https://instagram.com/cavemindsai
https://www.youtube.com/@caveminds

  continue reading

35 episodios

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