The future of #llms
Advice for aspiring #genai researchers
Biggest #generativeai challenges at #meta
#airesearch paper overview with Jonas Ngnawé
Building #rag: lessons learned
#genai in the coming years
#airesearch paper overview with Jacob Beck
Navigating #llm challenges
#generativeai research projects at #meta
Starting your #AI journey
The next frontier in #generativeai
#googleads: world's best #ml system
Virtual vs. physical feature store #mlops
Hamilton’s motivation to go #opensource
ZenML: bridging the specialised #ml vertical tools
Building #ml #ai platform: in-house vs. cloud provider
Building a documentation #chatbot with #rag (#llms #largelanguagemodels)
ZenML’s biggest challenge: integration testing (#mlops pipelines)
#productmanagement in #ml platform teams
#retrieval augmented generation and #milvus
#vectordatabases in fraud detection
#internal #documentation for #ml platform
Tradicional #vectordatabases use cases
The future of #llm evaluation (#ai engineer world's fair 2024)
Challenges in the #llm space (#ai engineer world's fair 2024)
Challenges in the #rag #llm space (#ai engineer world's fair)
Challenges in #genai (#ai engineer world's fair 2024)
Unsolved challenges in #genai (#ai engineer world's fair 2024)
#llm challenges (#ai engineer world's fair 2024)
What's next for #llms (#ai engineer world's fair 2024)
Predictions for #llms (#ai engineer world's fair 2024)
Challenges and opportunities for #llms (#ai engineer world's fair)
#llm deployment space challenges (#ai engineer world's fair)
#largelanguagemodels future bets (#ai engineer world's fair)
Challenges in the #llm space (#ai engineer world's fair 2024)
Challenges in the #rag based systems (#ai engineer world's fair)
Unsolved challenges in the #llm space (#ai engineer world's fair)
The future of #largelanguagemodels (#ai engineer world's fair)
#genai use cases at AXA (#ai engineer world's fair 2024)
Unsolved challenges in #generativeai (#ai engineer world's fair)
Future bets for #llms (#ai engineer world's fair 2024)
#llm challenges for compliance (#ai engineer world's fair 2024)
#llm predictions (#ai engineer world's fair 2024)
Challenges in #generativeai (#ai engineer world's fair 2024)
#speechtotext and #texttospeech challenges (#ai engineer world's fair)
#rag based model evolution at Cohere (#ai engineer world's fair)
#kubernetes distributions for #ml
The intersection of #neuroscience and #llms
X
About
Neptune is the most scalable experiment tracker for teams that train foundation models.
Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one.
Get to the next big AI breakthrough faster, using fewer resources on the way.
Tags