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##
[1.7.0](v1.6.0...v1.7.0)
### Added
- add `max_retries` and `num_threads` parameters to `rg.log` to run data
logging request concurrently with backoff retry policy. See
[#2458](#2458) and
[#2533](#2533)
- `rg.load` accepts `include_vectors` and `include_metrics` when loading
data. Closes [#2398](#2398)
- Added `settings` param to `prepare_for_training`
([#2689](#2689))
- Added `prepare_for_training` for `openai`
([#2658](#2658))
- Added `ArgillaOpenAITrainer`
([#2659](#2659))
- Added `ArgillaSpanMarkerTrainer` for Named Entity Recognition
([#2693](#2693))
- Added `ArgillaTrainer` CLI support. Closes
([#2809](#2809))
### Changed
- Argilla quickstart image dependencies are externalized into
`quickstart.requirements.txt`. See
[#2666](#2666)
- bulk endpoints will upsert data when record `id` is present. Closes
[#2535](#2535)
- moved from `click` to `typer` CLI support. Closes
([#2815](#2815))
- Argilla server docker image is built with PostgreSQL support. Closes
[#2686](#2686)
- The `rg.log` computes all batches and raise an error for all failed
batches.
- The default batch size for `rg.log` is now 100.
### Fixed
- `argilla.training` bugfixes and unification
([#2665](#2665))
- Resolved several small bugs in the `ArgillaTrainer`.
### Deprecated
- The `rg.log_async` function is deprecated and will be removed in next
minor release.
Is your feature request related to a problem? Please describe.
rg.load
andrg.log
slow from time to time.Describe the solution you'd like
as a quick fix:
batch_size
argument forrg.load
#2454rg.log
#2341Describe alternatives you've considered
N.A.
Additional context
N.A.
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